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
http://reply.papertrans.cn/27/2628/262712/262712_2.pngRadiation 发表于 2025-3-22 03:54:19
http://reply.papertrans.cn/27/2628/262712/262712_3.pngIngratiate 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 uncPAC 发表于 2025-3-22 11:50:17
http://reply.papertrans.cn/27/2628/262712/262712_5.pngModerate 发表于 2025-3-22 16:29:55
http://reply.papertrans.cn/27/2628/262712/262712_6.pngModerate 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
http://reply.papertrans.cn/27/2628/262712/262712_9.pngNotify 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.