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Titlebook: Modeling and Forecasting Electricity Demand; A Risk Management Pe Kevin Berk Book 2015 Springer Fachmedien Wiesbaden 2015 Energy Markets.Lo

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發(fā)表于 2025-3-21 17:21:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Modeling and Forecasting Electricity Demand
副標(biāo)題A Risk Management Pe
編輯Kevin Berk
視頻videohttp://file.papertrans.cn/637/636122/636122.mp4
概述Study in the field of natural sciences.Includes supplementary material:
叢書名稱BestMasters
圖書封面Titlebook: Modeling and Forecasting Electricity Demand; A Risk Management Pe Kevin Berk Book 2015 Springer Fachmedien Wiesbaden 2015 Energy Markets.Lo
描述The master thesis of Kevin Berk develops a stochastic model for the electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. The model incorporates the grid load as an exogenous factor and seasonalities on a daily, weekly and yearly basis. It is demonstrated how the model can be used e.g. for estimating the risk of retail contracts. The uncertainty of electricity demand is an important risk factor for customers as well as for utilities and retailers. As a consequence, forecasting electricity load and its risk is now an integral component of the risk management for all market participants.
出版日期Book 2015
關(guān)鍵詞Energy Markets; Load Forecasting; Retail Contracts; Risk Management; Time Series Analysis
版次1
doihttps://doi.org/10.1007/978-3-658-08669-5
isbn_softcover978-3-658-08668-8
isbn_ebook978-3-658-08669-5Series ISSN 2625-3577 Series E-ISSN 2625-3615
issn_series 2625-3577
copyrightSpringer Fachmedien Wiesbaden 2015
The information of publication is updating

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發(fā)表于 2025-3-21 21:48:05 | 只看該作者
https://doi.org/10.1007/978-3-658-08669-5Energy Markets; Load Forecasting; Retail Contracts; Risk Management; Time Series Analysis
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Modeling and Forecasting Electricity Demand978-3-658-08669-5Series ISSN 2625-3577 Series E-ISSN 2625-3615
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2625-3577 electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. The model incorporates the grid load as an exogenous factor and seasonalities on a daily, weekly and yearly basis. It is demonstrated how the model can be used e.g. for
7#
發(fā)表于 2025-3-22 20:41:23 | 只看該作者
2625-3577 retailers. As a consequence, forecasting electricity load and its risk is now an integral component of the risk management for all market participants.978-3-658-08668-8978-3-658-08669-5Series ISSN 2625-3577 Series E-ISSN 2625-3615
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https://doi.org/10.1007/978-1-4684-4178-9Training; assessment; attention; dementia; efficiency; epidemiology; funding; information; intelligence; inte
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