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Forecasting and Risk Management Techniques for Electricity Markets

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...

Täydet tiedot

Tallennettuna:
Aineistotyyppi: Online
Kieli:englanti
Julkaistu: MDPI - Multidisciplinary Digital Publishing Institute 2022
Aiheet:
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Linkit:ONIX_20221025_9783036551838_89
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