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17 articles
Learn how gas turbines work, how AI helps improve them, and why fast energy development comes with pollution concerns.
Nvidia and Amazon are investing billions in massive power infrastructure to support the growing energy demands of AI, raising environmental concerns over fossil fuel reliance.
This article explains how blockchain-based tokenization is transforming energy infrastructure, using Electric Blue's €500 million battery project in Germany as a case study. It covers the technical mechanisms behind tokenization and its implications for grid stability and investment.
Learn to build a smart energy monitoring system that tracks AI workload energy consumption and implements load balancing strategies to prevent excessive electricity bills.
Energy IPOs are surging as investors seek to capitalize on the growing demand for clean power to fuel the AI revolution. Companies are raising capital at the fastest pace seen this century.
European companies are reporting their strongest earnings in three years, driven by energy sector strength rather than AI advancements.
The rapid expansion of AI infrastructure has triggered the largest gas plant construction boom in history, raising concerns about the future of clean energy transitions.
Learn to simulate Quaise Energy's microwave-based superhot rock geothermal technology using Python heat transfer modeling.
Learn to build a simulation model for rail electrification systems using Python, calculating power consumption and comparing different electrification scenarios.
Bank of England Governor Andrew Bailey warned that AI may need to be rationed due to insufficient energy supply, highlighting the urgent need for sustainable computing solutions.
Former Meta CTO Mike Schroepfer’s Gigascale Capital has raised $250 million for climate tech startups, signaling a shift in venture capital focus from AI to sustainability.
This article explains how advanced AI systems enable rapid deployment and optimization of solar generators during severe weather events, using predictive analytics, machine learning, and distributed computing approaches.
