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

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