Advances in the Electricity Markets : Data-Driven Analytics

個数：

予約

Advances in the Electricity Markets : Data-Driven Analytics

Gupta, Sonal (EDT)/ Nallapaneni, Manoj Kumar (EDT)/ Kirli, Desen (EDT)

ウェブストア価格 ¥41,958（本体¥38,144）
Elsevier - Health Sciences Division（2026/03発売）
外貨定価 US$ 200.00
ポイント 381pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 358 p.
言語 ENG
商品コード 9780443275845

Full Description

Advances in the Electricity Markets: Data-Driven Analytics explores the quantitative skills, the latest technologies, and the sustainable initiatives essential to the effective management of emerging electricity markets. This book explores 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 the electricity systems. The book also discusses how electricity markets are evolving, including coverage of peer-to-peer trading, energy optimization, and intelligent electricity systems. T Written for energy researchers and professionals, as well as graduate students studying energy and electrical engineering, Advances in the Electricity Markets: Data-Driven Analytics is a valuable resource for those who wish to understand growing electricity markets and the latest techniques required for climate change.

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