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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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发表于 2025-3-21 17:21:36 | 显示全部楼层 |阅读模式
书目名称Modeling and Forecasting Electricity Demand
副标题A Risk Management Pe
编辑Kevin Berk
视频video
概述Study in the field of natural sciences.Includes supplementary material:
丛书名称BestMasters
图书封面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
关键词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

书目名称Modeling and Forecasting Electricity Demand影响因子(影响力)




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发表于 2025-3-21 21:48:05 | 显示全部楼层
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
发表于 2025-3-22 20:41:23 | 显示全部楼层
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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