Forecasting and Risk Management Techniques for Electricity Markets II

As renewable energy integration continues to expand, electricity market participants face growing uncertainty in both prices and volumes. These evolving conditions underscore the urgent need for advanced tools and strategies to support effective decision-making and ensure system reliability. Recognizing these challenges, the current Reprint presents a collection of innovative research on forecasting and risk management in electricity markets undergoing rapid transformation. The featured papers explore a range of approaches, including load forecasting under uncertainty, agent-based simulations for peer-to-peer trading, blockchain-based electricity market mechanisms, and the development of energy and weather derivatives to hedge market risks. Together, these contributions span both centralized and decentralized systems and offer practical insights for energy producers, grid operators, and financial engineers. Several studies also align risk-management strategies with broader policy goals such as carbon neutrality and sustainable electricity market design. In summary, this Reprint serves as a timely reference for researchers and practitioners seeking interdisciplinary methods to enhance forecasting accuracy and market resilience. The collection reflects the evolving nature of electricity markets and brings together perspectives from energy economics, finance, control theory, and data science to address pressing challenges and emerging opportunities worldwide.