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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

1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xi 7. About the editors - p. xiii 8. Foreword - p. xv 9. Chapter 1 Bigdata analytics in electricity markets of India, China, the United States, and Europe - p. 1 10. Chapter 2 The role of consumer behavior analytics in enhancing energy market sustainability - p. 27 11. Chapter 3 Powering the future: Data-driven innovations and financial dynamics in electricity markets - p. 51 12. Chapter 4 Rooftop solar: A pathway to reduce energy vulnerability in border regions of Jammu & Kashmir - p. 71 13. Chapter 5 Integrating urban sustainability and green technologies for smart cities and future generations - p. 95 14. Chapter 6 Enhancing Grid Stability and Reliability through Data-Driven Modeling for Sustainable Energy Systems - p. 117 15. Chapter 7 Time-of-use and real-time pricing schemes: Efficiency and consumer behavior in modern electricity markets - p. 129 16. Chapter 8 The impact of power cuts on ordinary citizens: A study of electricity generation, consumption, and societal effects in Rajasthan - p. 149 17. Chapter 9 Financial forecasting in the electricity market: An analysis of case studies - p. 167 18. Chapter 10 Electricity demand forecasting: Amalgamating artificial intelligence - p. 187 19. Chapter 11 The new energy frontier: Branding, consumer engagement, and technological integration - p. 213 20. Chapter 12 Challenges of e-vehicles: A review - p. 233 21. Chapter 13 Financial risk optimization of energy demand supply for off-grid EV charging station integrated renewable power systems - p. 245 22. Chapter 14 Household energy vulnerability and rooftop solar adoption in Ladakh: Evidence from an energy vulnerability index - p. 275 23. Chapter 15 Financial aspects of electricity markets - p. 299 24. Index - p. 323

Descripcion
Descripción

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

1. Title of Book - p. i 2. Cover Image - p. i 3. Title Page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xi 7. About the editors - p. xiii 8. Foreword - p. xv 9. Chapter 1 Bigdata analytics in electricity markets of India, China, the United States, and Europe - p. 1 10. Chapter 2 The role of consumer behavior analytics in enhancing energy market sustainability - p. 27 11. Chapter 3 Powering the future: Data-driven innovations and financial dynamics in electricity markets - p. 51 12. Chapter 4 Rooftop solar: A pathway to reduce energy vulnerability in border regions of Jammu & Kashmir - p. 71 13. Chapter 5 Integrating urban sustainability and green technologies for smart cities and future generations - p. 95 14. Chapter 6 Enhancing Grid Stability and Reliability through Data-Driven Modeling for Sustainable Energy Systems - p. 117 15. Chapter 7 Time-of-use and real-time pricing schemes: Efficiency and consumer behavior in modern electricity markets - p. 129 16. Chapter 8 The impact of power cuts on ordinary citizens: A study of electricity generation, consumption, and societal effects in Rajasthan - p. 149 17. Chapter 9 Financial forecasting in the electricity market: An analysis of case studies - p. 167 18. Chapter 10 Electricity demand forecasting: Amalgamating artificial intelligence - p. 187 19. Chapter 11 The new energy frontier: Branding, consumer engagement, and technological integration - p. 213 20. Chapter 12 Challenges of e-vehicles: A review - p. 233 21. Chapter 13 Financial risk optimization of energy demand supply for off-grid EV charging station integrated renewable power systems - p. 245 22. Chapter 14 Household energy vulnerability and rooftop solar adoption in Ladakh: Evidence from an energy vulnerability index - p. 275 23. Chapter 15 Financial aspects of electricity markets - p. 299 24. Index - p. 323

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