僵局 发表于 2025-3-21 19:20:26

书目名称Data Analytics in Power Markets影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0262712<br><br>        <br><br>书目名称Data Analytics in Power Markets影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0262712<br><br>        <br><br>书目名称Data Analytics in Power Markets网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0262712<br><br>        <br><br>书目名称Data Analytics in Power Markets网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0262712<br><br>        <br><br>书目名称Data Analytics in Power Markets被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0262712<br><br>        <br><br>书目名称Data Analytics in Power Markets被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0262712<br><br>        <br><br>书目名称Data Analytics in Power Markets年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0262712<br><br>        <br><br>书目名称Data Analytics in Power Markets年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0262712<br><br>        <br><br>书目名称Data Analytics in Power Markets读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0262712<br><br>        <br><br>书目名称Data Analytics in Power Markets读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0262712<br><br>        <br><br>

性冷淡 发表于 2025-3-21 20:43:21

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Radiation 发表于 2025-3-22 03:54:19

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Ingratiate 发表于 2025-3-22 06:30:40

Book 2021oaches. It begins with an overview of the power market data and analyzes on their characteristics and importance for market clearing. Then, the first part of the book discusses the essential problem of bus load forecasting from the perspective of market organizers. The related works include load unc

PAC 发表于 2025-3-22 11:50:17

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Moderate 发表于 2025-3-22 16:29:55

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Moderate 发表于 2025-3-22 19:50:47

https://doi.org/10.1007/978-3-642-74748-9 obtained. On this basis, different quantile regression models are implemented to combine these point forecasts in order to form the final probabilistic forecasts. Case studies on a real-world dataset demonstrate the superiority of our proposed method.

Anthrp 发表于 2025-3-22 21:17:12

https://doi.org/10.1007/978-3-030-38456-2 to detect local fluctuation. How the data cleaning influences the forecasting performance is also investigated. Case studies on the load data of Fujian Province, China are conducted to verify the effectiveness of the proposed method.

拥护 发表于 2025-3-23 02:33:10

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Notify 发表于 2025-3-23 09:22:25

Load Data Cleaning and Forecasting to detect local fluctuation. How the data cleaning influences the forecasting performance is also investigated. Case studies on the load data of Fujian Province, China are conducted to verify the effectiveness of the proposed method.
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查看完整版本: Titlebook: Data Analytics in Power Markets; Qixin Chen,Hongye Guo,Yi Wang Book 2021 Science Press 2021 Power markets.bidding strategy.machine learnin