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EnergyChannel Special Series | Artificial Intelligence: Everything We Need to Know 🇺🇸 EP15 – Artificial intelligence in education: personalized learning and ethical challenges What artificial intelligence in education is Artificial intelligence in education refers to the use of intelligent systems to support teaching and learning processes. These systems analyze student performance, behavior and progress to deliver more effective educational experiences. AI adoption represents a structural shift in knowledge transmission. How artificial intelligence in education works Artificial intelligence in education operates through algorithms that monitor student interactions with digital platforms, identify learning gaps and adjust content in real time. Adaptive learning systems personalize exercises, assessments and study pace. This approach enables targeted educational interventions. Artificial intelligence in education and personalized learning Personalized learning is a major benefit of artificial intelligence in education. Each student receives content aligned with their knowledge level, learning style and academic goals. This model increases engagement and reduces learning gaps. Artificial intelligence in education and the role of teachers With artificial intelligence in education, the role of teachers evolves. Technology handles operational tasks such as grading and performance analysis, allowing educators to focus on mentorship, creativity and human development. AI serves as a pedagogical support tool. Artificial intelligence in education in institutional management Institutions use artificial intelligence in education to improve academic management, predict dropout risks and design curricula. Data-driven insights enhance strategic decision-making. Operational efficiency supports better educational outcomes. Ethical challenges of artificial intelligence in education Ethical challenges of artificial intelligence in education include student data privacy, algorithmic bias and system transparency. Children and young learners are particularly vulnerable to data misuse. Strong governance is essential. Artificial intelligence in education and access inequality The expansion of artificial intelligence in education may increase inequality if access to technology remains uneven. Socioeconomic and regional disparities affect adoption rates. Inclusive policies are critical. Artificial intelligence in education and future-ready skills Artificial intelligence in education helps prepare students for a changing job market. Skills such as critical thinking, collaboration and digital literacy become essential. Learning with AI also means learning about AI. The future of artificial intelligence in education The future of artificial intelligence in education points to more flexible, personalized and lifelong learning environments. Technology will increasingly integrate formal education, professional training and continuous learning. 🇺🇸 EP15 – Artificial intelligence in education: personalized learning and ethical challenges

Japan’s solar market is entering one of its most निर्णnive transitions since its rapid expansion over the past decade. As guaranteed feed-in tariffs (FIT) begin to expire, projects developed during the country’s first major solar boom are facing a new reality: operating without revenue certainty. Japan Enters the Post-FIT Era, Forcing a Reinvention of the Solar Business Model This shift is already triggering strategic financial movements across the sector. One clear signal is the recent refinancing of a 104 MW operating solar portfolio spread across multiple regions in Japan a move that highlights continued investor confidence in well-managed assets, even as subsidy frameworks phase out. Japan Enters the Post-FIT Era, Forcing a Reinvention of the Solar Business Model From Subsidies to Market Exposure For years, Japan’s FIT program served as the backbone of solar growth, offering fixed, attractive pricing that unlocked large-scale investment. The result was a market that quickly scaled to nearly 100 GW of installed capacity. Now, as these contracts reach expiration, projects are being pushed into a more competitive environment one shaped by: Wholesale electricity price fluctuations Increased operational pressure Greater reliance on commercial strategy The shift is fundamental:from guaranteed returns to performance-driven revenue. Refinancing as a Transitional Strategy Recent refinancing activity suggests that lenders are evolving their approach. Instead of relying primarily on long-term contracted income, financial institutions are increasingly focused on: Proven operational track record Real generation performance Asset management quality This signals a growing recognition that operational solar assets can still deliver value provided they demonstrate consistency and adaptability. Repowering Emerges as a Key Lever Another critical strategy gaining momentum is repowering upgrading older installations with newer, more efficient technology. With declining equipment costs and improved performance, asset owners are exploring: Module replacement Optimization of existing infrastructure Increased output without new land acquisition Repowering becomes particularly attractive in Japan, where grid access and land availability are already constrained, making existing sites highly valuable. The Rise of Corporate PPAs As FIT support fades, new revenue models are becoming essential. Among them, corporate Power Purchase Agreements (PPAs) are emerging as a key solution. Large companies are actively seeking clean energy sources, creating a growing demand that can absorb solar generation outside traditional subsidy schemes. This shift is helping redefine how renewable energy is commercialized in the country. High Energy Costs Strengthen Solar Competitiveness Japan’s structural dependence on imported fuels continues to drive elevated electricity prices. This dynamic reinforces the competitiveness of solar energy and supports: Long-term renewable contracts Corporate decarbonization strategies Continued investor interest in solar assets A Market That Is Evolving, Not Slowing Down Despite the end of FIT-driven expansion, Japan continues to add solar capacity each year but under a new logic: More market-oriented Less subsidy-dependent Financially and operationally more sophisticated What Defines Success in the Post-FIT Era The transition underway does not signal decline, but transformation. Going forward, the success of solar assets in Japan will depend on three key pillars: Operational efficiency Revenue diversification strategies Financial adaptability The era of subsidy-driven growth is coming to an end. In its place, a more mature and competitive market is emerging one where only the most resilient and well-structured projects will thrive. Japan Enters the Post-FIT Era, Forcing a Reinvention of the Solar Business Model

EnergyChannel Special Series | Artificial Intelligence: Everything We Need to Know 🇺🇸 EP14 – Artificial intelligence in healthcare: diagnostics, risks and a medical revolution What artificial intelligence in healthcare is Artificial intelligence in healthcare refers to the use of algorithms and intelligent systems to analyze medical data, support clinical decisions and automate healthcare processes. These systems learn from large datasets, including medical records, exams and imaging. AI is reshaping how diseases are diagnosed, treated and prevented. How artificial intelligence in healthcare works Artificial intelligence in healthcare operates through models trained on clinical data. Algorithms identify patterns in medical images, vital signs, patient histories and laboratory results. This enables faster and more accurate interpretation of complex medical information. Artificial intelligence in healthcare applied to diagnostics One of the most advanced uses of artificial intelligence in healthcare is early diagnosis. AI systems have shown high accuracy in analyzing X-rays, CT scans, MRIs and ophthalmologic exams. These tools support the detection of cancer, cardiovascular, neurological and infectious diseases. Artificial intelligence in healthcare and personalized medicine Artificial intelligence in healthcare drives personalized medicine by tailoring treatments to individual patient profiles. Genetic and behavioral data help predict responses to drugs and therapies. This approach increases treatment effectiveness and reduces side effects. Artificial intelligence in healthcare and hospital management Beyond clinical care, artificial intelligence in healthcare improves hospital management. Algorithms help forecast demand, optimize bed allocation, manage supplies and reduce operational waste. Efficiency gains support more sustainable healthcare systems. Risks of artificial intelligence in healthcare Despite its potential, artificial intelligence in healthcare carries risks such as algorithmic errors, biased data, overreliance on automation and misdiagnosis. AI should support, not replace, medical judgment. Artificial intelligence in healthcare and patient privacy The large-scale use of data makes artificial intelligence in healthcare a challenge for patient privacy. Sensitive health information requires strong protection against misuse and breaches. Data security is essential to maintain trust. Ethics and responsibility in artificial intelligence in healthcare The adoption of artificial intelligence in healthcare demands ethical principles, including transparency, explainability and accountability. Healthcare professionals remain responsible for clinical outcomes. Medical ethics must evolve alongside technology. The future of artificial intelligence in healthcare The future of artificial intelligence in healthcare points toward integrated, preventive and personalized systems. AI will increasingly act as a partner to healthcare professionals, enhancing human expertise. The medical revolution is underway, shaped by innovation balanced with ethics and human care. 🇺🇸 EP14 – Artificial intelligence in healthcare: diagnostics, risks and a medical revolution

By EnergyChannel T&D Substations 2026 reveals the power sector’s new challenge: turning growth into stability in Brazil The latest edition of T&D Subestações delivered a clear message: Brazil’s power sector is no longer focused solely on expansion the priority now is stability, operational intelligence, and reliability. Bringing together professionals from across the GTD chain (Generation, Transmission, Distribution), the event has become one of the country’s leading technical forums for electrical infrastructure. What emerged was not just a list of trends, but a sector undergoing transformation. A new phase for the power sector In 2026, the discussion shifted from “what’s next” to “what must be done now.” Key topics included: Advanced T&D infrastructure Artificial intelligence Large-scale energy storage Digital substations Microgrids Critical themes: System reliability Grid expansion planning Curtailment Cybersecurity Monitoring and control SMA highlights storage as a stability solution SMA Solar Technology brought a clear message: storage is essential. According to Henrique Almeida: “Energy storage is now key to ensuring grid stability.” Regulation meets technology Discussions with EPE and ANEEL showed alignment but also highlighted regulatory gaps. Real-world validation already exists A project in Scotland demonstrated real-world application of storage for transmission stability. “It’s already operational and delivering results,” said Henrique. The new bottleneck: control systems Focus is shifting toward: Inverters Control systems Grid integration “The challenge is no longer the battery it’s control.” SMA’s strategy in Brazil According to Rodrigo Cardoso Gatti: “We focus on large-scale projects in transmission and distribution.” Capacity auction could unlock growth “It could move the market at gigawatt scale,” Rodrigo noted. Digitalization is reshaping substations Digital substations AI Drones Asset management Conclusion Brazil’s energy transition is no longer theoretical. Technology is ready.The market is aligned. Now, it’s about speed. T&D Substations 2026 reveals the power sector’s new challenge: turning growth into stability in Brazil

A major fire struck a facility operated by BYD this Tuesday (14) in Shenzhen, one of China’s leading technology hubs. 🚨 BREAKING NEWS | ENERGYCHANNEL, A major fire struck a facility operated by BYD this Tuesday According to initial reports, the fire started in a garage used as a parking area for test vehicles and decommissioned units. Footage circulating on social media shows intense flames spreading across a large section of the building, raising immediate concerns about safety and potential operational impacts. In an official statement, BYD confirmed that the fire was fully contained by local emergency teams and emphasized that no casualties were reported. While the company has not yet disclosed the cause of the incident, the episode reignites discussions around safety in environments that house electric vehicles particularly in areas involving lithium-ion batteries, a critical point of attention for the global electric mobility industry. EnergyChannel Context BYD is currently one of the world’s largest electric vehicle manufacturers, with strong international expansion and a strategic role in the global energy transition. Incidents like this, even without casualties, tend to draw global attention to safety protocols, storage practices, and testing environments for electrified vehicles. ⚠️ Current status: Fire under control No reported injuries Cause under investigation The EnergyChannel team is continuing to monitor the situation and will provide updates throughout the day. 🚨 BREAKING NEWS | ENERGYCHANNEL, A major fire struck a facility operated by BYD this Tuesday

The rise of Péter Magyar in Hungary’s political landscape is being seen as a potential turning point in the country’s relationship with the European Union. Political shift in Hungary could end tensions with the European Union or simply open a new phase After years of friction under Viktor Orbán, the prospect of change raises a central question: is Hungary truly on the verge of ending its isolation within the bloc? More than a simple transfer of power, this moment suggests a broader political reconfiguration with implications that could resonate across Europe. The end of an era of confrontation? For over a decade, Viktor Orbán has consolidated a model of governance marked by strong centralization of power and frequent clashes with Brussels. Issues such as rule of law, institutional independence, and political alignment turned Hungary into one of the European Union’s most persistent sources of tension. During this period, the country occupied an ambiguous position: formally part of the bloc, yet often at odds with its core principles. The potential victory of Péter Magyar is therefore being interpreted as a break — at least rhetorically from this cycle of confrontation. Reconnection or narrative adjustment? Initial expectations suggest that a new leadership would seek to rebuild bridges with the European Union, restoring political dialogue, institutional credibility, and reducing friction with European partners. However, the key question remains: will this shift be structural, or merely strategic? Even under new leadership, internal dynamics including political base, public opinion, and economic interests will continue to shape Hungary’s direction. A change in leadership does not automatically translate into a change in national posture. Impact on the European balance A more aligned Hungary could reshape internal dynamics within the European Union. In recent years, the country has often acted as a blocking force in key decisions, complicating consensus on sensitive issues. A repositioning could unlock stalled agendas and reduce internal friction. At the same time, it introduces a new scenario:with less visible tension, the European Union may gain stability but lose one of its most prominent internal dissenting voices. Between expectation and reality The narrative of “normalization” is likely to gain traction in the short term, driven by political signaling and the EU’s interest in fully reintegrating Hungary. However, Europe’s recent history shows that political shifts do not always translate into immediate or deep structural changes. The transition may be gradual, shaped by negotiations, adjustments, and potential setbacks. What is really at stake The possible victory of Péter Magyar is not just about leadership change. It reflects a broader debate about the future of the European Union itself: How far can the bloc accommodate internal divergence? Where is the line between national sovereignty and collective alignment? And how should it deal with governments that challenge its core principles? Beyond Hungary Hungary’s case serves as a political barometer for contemporary Europe. If the shift leads to genuine reintegration, it could signal a moment of renewed cohesion within the bloc.If not, it will reinforce the complexity and contradictions of a union built on diverse and sometimes conflicting interests. In the end, the question is not only whether the European Union’s problems with Hungary will disappear. But whether Europe is prepared for what comes next. Political shift in Hungary could end tensions with the European Union or simply open a new phase

The escalation of tensions between the United States and Iran has entered a new phase. Washington has initiated a strategic blockade of Iranian ports a move that significantly heightens the risk of instability in the Middle East, a region responsible for a critical share of global energy supply. US launches maritime blockade against Iran, raising geopolitical risk at the heart of global energy markets The action, widely interpreted as an attempt to economically suffocate Tehran, has the potential to directly impact oil and natural gas flows, putting pressure on international markets and reigniting concerns over energy security. In response, the Iranian government has signaled the possibility of retaliation, increasing fears of a broader military escalation with systemic consequences. One of the main points of concern is the potential disruption of maritime traffic along strategic routes, particularly the Strait of Hormuz through which roughly one-fifth of the world’s traded oil passes. Energy at the center of the crisis The US move does not occur in a political vacuum. It is part of a broader context of geopolitical disputes, economic sanctions, and shifting global power dynamics. However, it is in the energy sector where its effects are likely to be most immediate and amplified. Any restriction on Iranian trade could reduce global oil supply, driving up international prices and directly impacting import-dependent economies. At the same time, exporting nations may benefit from rising commodity prices, triggering a new realignment of power within the market. Domino effect across global markets The threat of Iranian retaliation adds a layer of unpredictability. Analysts are already considering scenarios ranging from expanded sanctions to indirect confrontations in the region, with potential impacts on critical energy infrastructure such as pipelines, port terminals, and key shipping routes. This environment of uncertainty is likely to accelerate ongoing trends, including: diversification of energy matrices increased investment in energy security expansion of renewable energy as a strategy to reduce dependency Pressure on global supply chains Beyond oil, the crisis could disrupt global logistics chains, driving up transportation costs and maritime insurance premiums. This would impact not only the energy sector but international trade as a whole. Companies and governments are now operating in a more volatile environment, where strategic decisions must increasingly account for complex geopolitical risks. A new chapter in energy geopolitics The blockade of Iranian ports marks a critical moment in the global balance of power. More than an isolated episode, it underscores the growing interdependence between geopolitics and energy. For the market, the message is clear: the energy transition is not unfolding in parallel to global conflicts it is deeply embedded within them. The unfolding of this crisis may not only influence prices in the short term, but also reshape long-term energy strategies across multiple regions of the world. US launches maritime blockade against Iran, raising geopolitical risk at the heart of global energy markets

EnergyChannel Special Series | Artificial Intelligence: Everything We Need to Know 🇺🇸 EP13 – Artificial intelligence in the job market: jobs, automation and new professions What artificial intelligence in the job market is The presence of artificial intelligence in the job market is no longer a future prediction but a present reality. AI systems are increasingly integrated into productive, administrative and creative processes, reshaping how work is performed. This transformation affects both operational and strategic roles. How artificial intelligence in the job market drives automation Artificial intelligence in the job market accelerates the automation of repetitive, predictable and data-driven tasks. Processes once dependent on human execution are now handled by algorithms with greater efficiency and lower operational costs. This shift redefines productivity and competitiveness. Jobs most affected by artificial intelligence in the job market Several sectors are impacted by artificial intelligence in the job market , including: Manufacturing and industry Logistics and transportation Financial services Customer support Content production The level of impact varies according to task complexity and creativity. Artificial intelligence in the job market and the creation of new professions While some roles disappear, artificial intelligence in the job market also generates new opportunities. Emerging professions include data science, AI engineering, algorithmic ethics, content curation and human–machine interaction specialists. Workforce adaptation becomes essential. Reskilling and artificial intelligence in the job market Reskilling is a core element of artificial intelligence in the job market . Professionals must develop digital skills, critical thinking and the ability to collaborate with intelligent systems. Lifelong learning becomes mandatory. Artificial intelligence in the job market and social inequality The expansion of artificial intelligence in the job market may increase inequality if access to education and technology remains uneven. Vulnerable groups risk greater displacement without inclusive policies. This debate involves economic growth and social justice. The role of companies in artificial intelligence in the job market Companies play a key role in managing the transition driven by artificial intelligence in the job market . Investing in training, transparency and ethical AI use supports long-term sustainability. AI should augment, not simply replace, human labor. Artificial intelligence in the job market and the future of work The future of artificial intelligence in the job market will be hybrid. Humans and machines will collaborate, combining creativity, empathy and computational intelligence. Future professions will demand continuous adaptation. 🇺🇸 EP13 – Artificial intelligence in the job market: jobs, automation and new professions

By Daniel Pansarella Brazil is currently facing a paradox that challenges both economic and environmental logic. While the world accelerates the energy transition and consolidates renewable sources as the cornerstone of sustainable development, the country appears to be moving in the opposite direction adopting measures that make clean energy more expensive while favoring the old and inefficient fossil fuel industry. The recent increase in taxation on solar equipment and energy storage systems is not merely a policy mistake; it is a clear symptom of short-term thinking that sacrifices the future in favor of immediate revenue. The publication of Resolution GECEX No. 871/2026, which alters import tariffs on solar inverters, represents the latest chapter in this series of setbacks. The measure directly impacts essential equipment such as on-grid, string, and hybrid inverters, adding to previous tax increases on photovoltaic modules (25%) and batteries (from 16–18% to 20%). What was once a favorable environment for innovation and sustainability has turned into a maze of legal uncertainty and rising costs. The Fallacy of Protecting National Industry The official justification for these tariff increases is the supposed “protection of national industry.” However, this narrative does not withstand deeper analysis. Brazil simply does not have a robust industrial chain capable of meeting domestic demand for high-tech inverters or large-scale lithium battery production. By heavily taxing these products, the government is not protecting a nascent industry—it is penalizing consumers and making clean energy projects unfeasible. Without a clear industrial development plan, tariff protection becomes nothing more than a disguised tax imposed on society. Meanwhile, other countries are moving in the opposite direction, reducing taxes on solar equipment and batteries, clearly signaling that renewable competitiveness is a strategic priority. A Devastating Impact on the Sector The numbers speak for themselves. Only 10% of solar integrators founded before 2016 are still active in Brazil today. In 2025, the average number of employees per company dropped from seven to six, and 68% of companies operate with teams of four or fewer people. Commercial proposals have fallen by 19%, with an average of 21 monthly quotes per company, compared to 43 in 2023. In the utility-scale segment, the outlook is equally concerning. Renewable energy companies are downsizing operations and laying off workers. Billions of reais have been lost due to generation curtailment imposed by the system operator. Wind industry manufacturers have shut down factories, and major utilities have publicly stated they will not invest in new solar and wind projects in Brazil until regulatory and operational issues are resolved. Capital Flight to Neighboring Countries While Brazil struggles with regulatory contradictions, countries like Chile, Argentina, and Colombia are attracting the capital that should be flowing here. Chile and Argentina already have advanced legislation and auction mechanisms for battery storage (BESS), with operational projects in place. Argentina has introduced reforms offering regulatory stability, tax incentives, and access to foreign currency for up to 30 years. Chile has established itself as a regional leader in energy storage, with a mature regulatory framework that properly compensates storage systems. Colombia, in turn, has implemented programs to expand energy access and has achieved record solar generation, surpassing coal a historic milestone. The Weight of the Fossil Lobby and Revenue Urgency The true motivation behind these measures appears to lie in two reinforcing forces: the urgent need to increase tax revenue and the disproportionate influence of the oil and gas industry. With a projected fiscal deficit in the tens of billions, the government is aggressively seeking new revenue sources. Tax increases on imported goods are expected to generate billions, but at the cost of undermining a strategic sector. Meanwhile, fossil fuels continue to benefit from privileges and influence. Recent thermal energy auctions, which contracted diesel-based generation, demonstrate that carbon-intensive interests still shape policy decisions. Impact on Growth, Society, and Future Generations Brazil’s solar sector is a proven engine of development, generating over 2 million jobs and attracting nearly R$300 billion in investments since 2012. Solar energy now represents 22% of the country’s electricity matrix. Distributed generation has democratized access to energy, benefiting millions of households, small businesses, and farmers. At the same time, Brazilian society is increasingly committed to sustainability. The rapid growth of electric and hybrid vehicles reflects a cultural transformation that is irreversible. However, recent policies threaten to halt this momentum. Rising costs compress margins, restrict credit, and discourage investment. Hybrid solar plants and storage systems critical for grid stability are at risk of becoming economically unviable. A Call for Strategy and Long-Term Vision Brazil has a historic opportunity to lead the global energy transition. But this requires coherent, predictable, and long-term public policies. The current contradiction where sustainability is praised in discourse but penalized in practice undermines investor confidence and damages Brazil’s international credibility. The country must shift from a short-term revenue-driven approach to a long-term strategy that fosters innovation, competitiveness, and clean energy adoption. Capital is seeking safe destinations. If Brazil fails to provide regulatory stability and legal certainty, billions in investments will flow to neighboring countries instead. We cannot allow fiscal short-sightedness and outdated interests to prevent us from building the sustainable future that Brazil and future generations deserve. How Revenue Hunger Threatens Brazil’s Renewable Future

EnergyChannel Special Series | Artificial Intelligence: Everything We Need to Know 🇺🇸 EP11 – Artificial intelligence and data privacy: who controls your information? What artificial intelligence and data privacy are Artificial intelligence and data privacy are deeply connected in modern digital systems. AI relies on massive volumes of personal data to learn, adapt and operate effectively. This data includes online behavior, location, consumption habits and biometric information. Why artificial intelligence and data privacy are directly connected The link between artificial intelligence and data privacy exists because algorithms learn from human patterns. More data leads to more accurate and personalized AI systems. This creates tension between efficiency and individual rights. How artificial intelligence and data privacy affect daily life In everyday life, artificial intelligence and data privacy influence digital assistants, mobility apps, streaming platforms, financial systems and social networks. Each interaction generates new data continuously processed by AI. Artificial intelligence and data privacy in commercial use Companies use artificial intelligence and data privacy to optimize marketing, predict behavior and personalize services. While convenient, this also expands consumer surveillance. Data has become a core asset of the digital economy. Artificial intelligence and data privacy in government and security Governments apply artificial intelligence and data privacy in surveillance, public security and border control systems, raising concerns about civil liberties. Lack of transparency increases the risk of misuse. Main risks of artificial intelligence and data privacy Key risks of artificial intelligence and data privacy include data breaches, misuse of personal information, mass surveillance and algorithmic discrimination. These challenges require coordinated responses. Artificial intelligence and data privacy regulation Regulations such as GDPR and data protection laws aim to govern artificial intelligence and data privacy , but legal frameworks often lag behind innovation. Ethics and transparency in artificial intelligence and data privacy Ethical AI requires accountability, explainability and respect for artificial intelligence and data privacy principles. User trust is essential for sustainable adoption. The future of artificial intelligence and data privacy The future of artificial intelligence and data privacy will depend on balancing innovation, regulation and user awareness, with privacy-first technologies gaining relevance. 🇺🇸 EP11 – Artificial intelligence and data privacy: who controls your information?

EnergyChannel Special Series | Artificial Intelligence: Everything We Need to Know 🇺🇸 EP12 – Generative artificial intelligence and copyright: who owns the creation? What generative artificial intelligence and copyright are The rise of generative artificial intelligence and copyright has transformed content creation. AI systems can now generate text, images, music and video based on learned patterns. This challenges traditional definitions of authorship. How generative artificial intelligence and copyright work Models in generative artificial intelligence and copyright are trained on massive datasets, often containing copyrighted material, raising questions about consent and compensation. Generative artificial intelligence and copyright in creative industries Generative artificial intelligence and copyright affect journalism, advertising, music, design and software development. AI acts as a creative amplifier. Who is the author in generative artificial intelligence and copyright Authorship remains unclear in generative artificial intelligence and copyright , creating legal uncertainty. Generative artificial intelligence and copyright in commercial use Commercial use of generative artificial intelligence and copyright involves legal and reputational risks. Conflicts and lawsuits involving generative artificial intelligence and copyright Legal disputes around generative artificial intelligence and copyright are shaping global debates. Generative artificial intelligence and copyright regulation Regulators are adapting laws to address generative artificial intelligence and copyright challenges. Ethics and responsibility in generative artificial intelligence and copyright Ethical use of generative artificial intelligence and copyright requires transparency and respect for creators. The future of generative artificial intelligence and copyright The future of generative artificial intelligence and copyright will balance innovation and protection of creative rights. 🇺🇸 EP12 – Generative artificial intelligence and copyright: who owns the creation?

SMA experts warn: grid stability and success in upcoming LRCAP auction will depend more on conversion technology than batteries Energy storage moves to the core of Brazil’s power system and inverters become a critical factor ATIBAIA, Brazil — The rapid expansion of renewable energy in Brazil is creating a new challenge for the power system: maintaining grid stability amid increasingly intermittent and decentralized generation. Energy storage moves to the core of Brazil’s power system and inverters become a critical factor In this context, energy storage is no longer just a trend it is becoming a strategic asset, especially with the upcoming capacity auction (LRCAP), expected to unlock billions in investments in the coming months. In an interview with EnergyChannel, Rodrigo Cardoso Gatti, Country Manager at SMA Brazil, and Henrique Almeida, Sales Director, explain why the technical debate is shifting and where the main risks for investors lie. Brazil’s emerging grid challenge According to the executives, Brazil is facing an energy paradox: excess renewable generation alongside rising grid instability. This is driven by: long transmission distances high penetration of solar and wind low system inertia “Brazil’s power system is facing stability challenges that didn’t exist a few years ago,” says Gatti. Grid forming: a game-changing technology The solution lies in a new generation of technologies known as grid forming. Unlike traditional systems (grid following), which depend on the grid, grid-forming systems: actively stabilize the grid provide inertia, voltage, and frequency control help prevent cascading failures “In the past, systems would disconnect during faults. Now, the idea is the opposite they must support the grid,” explains Almeida. A critical but overlooked risk: the inverter While most of the market focuses on batteries which account for roughly 80% of CAPEX the executives highlight a key issue: 👉 The real technical risk lies in the inverter. “Many investors focus only on batteries, but the critical factor for grid compliance is the inverter’s true grid-forming capability,” says Gatti. According to him: not all solutions meet system operator requirements few technologies are proven at scale failures can jeopardize entire projects LRCAP: a turning point for the sector The upcoming capacity auction is expected to mark a new phase for energy storage in Brazil. Key aspects include: stricter technical requirements focus on grid stability new revenue models It may also enable: participation of transmission companies ancillary services markets compensation for stability, not just energy “In Europe, there are already markets for frequency control and inertia. This is a natural path for Brazil,” Almeida notes. Architecture and strategy: defining success Project design is another critical factor. Experts highlight the importance of: centralized inverter architecture battery-agnostic systems technological flexibility This is essential in a context where: battery technology evolves rapidly systems become obsolete within years projects operate over 20–30-year horizons Lifetime and long-term value While the market focuses on battery degradation, SMA points to another overlooked factor: 👉 inverter lifetime The company states its solutions can deliver up to 19,000 cycles, enabling: multiple use cases over time participation in different markets higher long-term returns “Investors need to look beyond the 10-year auction horizon. These are multi-decade assets,” says Almeida. A market still taking shape Brazil is still defining: local content rules revenue models final technical requirements But one thing is clear: 👉 energy storage will be central to the future power system. And more importantly technology choices will define the winners. Energy storage moves to the core of Brazil’s power system and inverters become a critical factor