Forecasting and Risk Management Techniques for Electricity Markets

• Andere auteurs: Yamada, Yuji (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2022
• Onderwerpen: Technology: general issues; History of engineering & technology; electricity markets; non-parametric regression; minimum variance hedge; spline basis functions; cyclic cubic spline; weather derivatives; n/a; distributed energy resources (DER); P2P energy trading; cooperative mechanism; renewable energy; multi agent system; blockchain; cashflow management of electricity businesses; electricity derivatives and forwards; retailers and power producers; solar power and thermal energy; optimal hedging using nonparametric techniques; empirical simulations; peer-to-peer energy trading; distributed energy resources; microgrid; digital grid; bidding strategy; electricity price; electricity load; electricity price forecasting; wind energy; day-ahead market; intra-day market; balancing power market; peer to peer energy market; hardware control; demonstration experiment; home energy management systems; electric vehicles; bidding agent; electric vehicle; functional autoregressive model; functional principle component analysis; vector autoregressive model; functional final prediction error (FFPE); naive method; P2P electricity market; market maker; liquidity; price fluctuation; artificial market simulation
• Online toegang: DOAB: download the publication; DOAB: description of the publication

This book focuses on the recent development of forecasting and risk management techniques for electricity markets. In addition, we discuss research on new trading platforms and environments using blockchain-based peer-to-peer (P2P) markets and computer agents. The book consists of two parts. The fir...