Advances in the Electricity Markets
Data-Driven Analytics
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Product details:
- Publisher Elsevier
- Date of Publication 26 June 2026
- ISBN 9780443275845
- Binding Paperback
- No. of pages344 pages
- Size 229x152 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Advances in the Electricity Markets: Data-Driven Analytics explores the quantitative skills, latest technologies, and sustainable initiatives essential for the effective management of emerging electricity markets. The book provides insights on how to practically achieve sustainable development goals by incorporating advanced methods, including those related to renewable integration, robust power market analysis, and precise prediction methods that facilitate the reduction of carbon emissions. In addition, the book offers novel theoretical, policy, and managerial insights into adopting Distributed Energy Resources, Smart contracts, and the AI and Machine Learning approaches required for the resilience of electricity systems.
Finally, sections discuss how electricity markets are evolving, including coverage of peer-to-peer trading, energy optimization, and intelligent electricity systems. Written for energy researchers and professionals, as well as graduate students studying energy and electrical engineering, this book is a valuable resource for those who want to better understand growing electricity markets and the latest techniques required to manage climate change.
- Presents established techniques suitable for modeling any major aspect of electricity markets
- Offers insights on how power market stakeholders can practically achieve sustainable development goals through advanced technologies
- Contains novel theoretical, policy, and managerial insights into Distributed Energy Resources, Smart contracts, and the AI and Machine Learning approaches required for economic growth and sustainable development
Table of 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
