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Full Description
Advances in the Electricity Markets: Data-Driven Analytics provides a comprehensive examination of the essential quantitative skills, innovative technologies, and sustainable practices necessary for the effective management of emerging electricity markets. The book emphasizes the importance of integrating renewable energy sources and robust market analysis tools to achieve sustainable development goals. By leveraging advanced prediction methods, it explores practical strategies for reducing carbon emissions and enhancing the overall resilience of electricity systems. Written for researchers, professionals, and graduate students, this resource delivers the critical knowledge needed to navigate and thrive in today's rapidly evolving energy sector.
Beyond its core focus, the book delves into the adoption of Distributed Energy Resources, the implementation of Smart contracts, and the application of AI and Machine Learning for electricity system resilience. In addition, it examines the evolution of electricity markets with detailed coverage of peer-to-peer trading, energy optimization, and intelligent systems.
Contents
Part I: Introduction and Background
1. Introduction to Electricity Markets
2. Data-Driven Analytics in Energy Markets
Part II: Data Collection and Management
3. Data Collection Methods
4. Data Quality and Management
Part III: Predictive Analytics
5. Load Forecasting
6. Renewable Energy Forecasting
Part IV: Market Analysis and Pricing
7. Market Price Forecasting
8. Demand Response and Dynamic Pricing
Part V: Risk Management and Optimization
9. Risk Assessment in Electricity Markets
10. Optimization Techniques for Market Operations
Part VI: Market Design and Policy
11. Market Design and Regulation
12. Policy Implications of Data-Driven Analytics
Part VII: Case Studies and Applications
13. Case Studies in Data-Driven Market Operations
14. Future Directions and Emerging Trends
Part VIII: Conclusion
15. Summary and Future Perspectives Final thoughts and recommendations



