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...
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| Format: | Online |
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| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online Access: | ONIX_20221025_9783036551838_89 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-93235 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-932352024-04-09T23:15:54Z Forecasting and Risk Management Techniques for Electricity Markets Yamada, Yuji 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 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. 2022-10-25T09:03:20Z 2022-10-25T09:03:20Z 2022 book ONIX_20221025_9783036551838_89 9783036551838 9783036551845 https://directory.doabooks.org/handle/20.500.12854/93235 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/6134 https://mdpi.com/books/pdfview/book/6134 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5184-5 10.3390/books978-3-0365-5184-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036551838 9783036551845 212 open access |
| spellingShingle | 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 Forecasting and Risk Management Techniques for Electricity Markets |
| title | Forecasting and Risk Management Techniques for Electricity Markets |
| title_full | Forecasting and Risk Management Techniques for Electricity Markets |
| title_fullStr | Forecasting and Risk Management Techniques for Electricity Markets |
| title_full_unstemmed | Forecasting and Risk Management Techniques for Electricity Markets |
| title_short | Forecasting and Risk Management Techniques for Electricity Markets |
| title_sort | forecasting and risk management techniques for electricity markets |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20221025_9783036551838_89 |