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221110 ||| eng |
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|a 9783036551838
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|a books978-3-0365-5184-5
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|a 9783036551845
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| 100 |
1 |
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|a Yamada, Yuji
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| 245 |
0 |
0 |
|a Forecasting and Risk Management Techniques for Electricity Markets
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2022
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| 300 |
|
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|a 1 electronic resource (212 p.)
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| 653 |
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|a naive method
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| 653 |
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|a microgrid
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| 653 |
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|a digital grid
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| 653 |
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|a functional autoregressive model
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| 653 |
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|a P2P electricity market
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| 653 |
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|a renewable energy
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| 653 |
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|a optimal hedging using nonparametric techniques
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| 653 |
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|a demonstration experiment
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| 653 |
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|a n/a
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| 653 |
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|a peer-to-peer energy trading
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| 653 |
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|a functional final prediction error (FFPE)
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| 653 |
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|a market maker
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| 653 |
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|a non-parametric regression
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| 653 |
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|a minimum variance hedge
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| 653 |
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|a History of engineering & technology / bicssc
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| 653 |
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|a bidding agent
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| 653 |
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|a liquidity
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| 653 |
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|a electricity markets
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| 653 |
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|a artificial market simulation
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| 653 |
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|a retailers and power producers
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| 653 |
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|a electricity price forecasting
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| 653 |
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|a hardware control
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| 653 |
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|a balancing power market
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| 653 |
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|a spline basis functions
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
|
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|a cashflow management of electricity businesses
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| 653 |
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|a weather derivatives
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| 653 |
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|a electric vehicles
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| 653 |
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|a electric vehicle
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| 653 |
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|a cooperative mechanism
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| 653 |
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|a functional principle component analysis
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| 653 |
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|a electricity derivatives and forwards
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| 653 |
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|a intra-day market
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| 653 |
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|a vector autoregressive model
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| 653 |
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|a multi agent system
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| 653 |
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|a peer to peer energy market
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| 653 |
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|a empirical simulations
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| 653 |
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|a home energy management systems
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| 653 |
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|a electricity load
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| 653 |
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|a wind energy
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| 653 |
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|a electricity price
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| 653 |
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|a cyclic cubic spline
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| 653 |
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|a blockchain
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| 653 |
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|a solar power and thermal energy
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| 653 |
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|a P2P energy trading
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| 653 |
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|a distributed energy resources (DER)
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| 653 |
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|a distributed energy resources
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| 653 |
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|a day-ahead market
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| 653 |
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|a price fluctuation
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| 653 |
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|a bidding strategy
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| 700 |
1 |
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|a Yamada, Yuji
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b DOAB
|a Directory of Open Access Books
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| 500 |
|
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
5 |
0 |
|a 10.3390/books978-3-0365-5184-5
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/93235
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/6134
|7 0
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 900
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| 082 |
0 |
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|a 333
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| 082 |
0 |
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|a 700
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| 082 |
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|a 600
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|a 620
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|a 330
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| 520 |
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|a 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.
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