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Forecasting and Risk Management Techniques for Electricity Markets
Yuji Yamada (editor)
2022
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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 first part is entitled “Forecasting and Risk Management Techniques” and contains five chapters related to weather and electricity derivatives, and load and price forecasting for supporting electricity trading. The second part is entitled “Peer-to-Peer (P2P) Electricity Trading System and Strategy” and contains the following five chapters related to the feasibility and enhancement of P2P energy trading from various aspects.
This book is included in DOAB.
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Keywords
- artificial market simulation
- balancing power market
- bidding agent
- bidding strategy
- blockchain
- cashflow management of electricity businesses
- cooperative mechanism
- cyclic cubic spline
- day-ahead market
- demonstration experiment
- digital grid
- distributed energy resources
- Distributed Energy Resources (DER)
- electric vehicle
- Electric vehicles
- electricity derivatives and forwards
- electricity load
- electricity markets
- electricity price
- electricity price forecasting
- empirical simulations
- functional autoregressive model
- functional final prediction error (FFPE)
- functional principle component analysis
- hardware control
- History of engineering & technology
- home energy management systems
- intra-day market
- liquidity
- market maker
- microgrid
- minimum variance hedge
- multi agent system
- n/a
- naive method
- non-parametric regression
- optimal hedging using nonparametric techniques
- P2P electricity market
- P2P energy trading
- peer to peer energy market
- peer-to-peer energy trading
- price fluctuation
- renewable energy
- retailers and power producers
- solar power and thermal energy
- spline basis functions
- Technology, engineering, agriculture
- Technology: general issues
- vector autoregressive model
- weather derivatives
- Wind energy
Links
DOI: 10.3390/books978-3-0365-5184-5Editions