This report discusses how data analytics is reshaping the electricity sector. It explores key drivers for adoption such as decarbonisation, digitalisation, and decentralisation, and highlights the role of advanced data tools in enhancing operational efficiency, reliability, and strategic decision-making. The paper also presents insights into emerging technologies and case studies that showcase real-world applications. It serves as a comprehensive resource for understanding current trends, challenges, and opportunities in applying analytics across the electricity value chain.

This NREL insight report discusses how data science is driving innovation in clean and renewable energy. It describes platforms like the Open Energy Data Initiative, which aggregates terabytes of energy metrics into accessible ‘data lakes’ to support research, forecasting, and policy planning. NREL’s Insight Center applies advanced computing—including generative ML models—to simulate future grid scenarios, improve material discovery, and optimize energy storage. The piece emphasizes cross-sector collaboration, open data standards, and high-performance computing. It argues that integrating data analytics is critical for accelerating clean energy deployment, resilience, and net-zero strategies worldwide.

This report explores how AI and mobile big data can address socioeconomic challenges in Indonesia, Malaysia, and Thailand. It highlights use cases in climate action and urban mobility, offering recommendations for scaling these technologies to achieve Sustainable Development Goals.