muster 发表于 2025-3-28 16:27:18
http://reply.papertrans.cn/87/8689/868878/868878_41.pngOscillate 发表于 2025-3-28 21:02:56
http://reply.papertrans.cn/87/8689/868878/868878_42.pngremission 发表于 2025-3-29 02:40:54
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http://reply.papertrans.cn/87/8689/868878/868878_45.pngSpongy-Bone 发表于 2025-3-29 14:12:19
Probabilistic Residential Load Forecasting,sed point forecasting is extended to probabilistic forecasting in the form of quantiles. Numerical experiments are conducted on an open dataset from Ireland. Forecasting for both residential and commercial consumers is tested. Results show that the proposed method has superior performance over traditional methods.抱狗不敢前 发表于 2025-3-29 17:09:03
Socio-demographic Information Identification,rehensive comparisons with state-of-the-art and advanced machine learning techniques are conducted. Case studies on an Irish dataset demonstrate the effectiveness of the proposed deep CNN-based method, which achieves higher accuracy in identifying the socio-demographic information about the consumers.言外之意 发表于 2025-3-29 23:24:57
http://reply.papertrans.cn/87/8689/868878/868878_48.png变色龙 发表于 2025-3-30 03:33:25
engineers.Low Power Design Essentials contains all the topics of importance to the low power designer. The book lays the foundation with background chapters entitled “Advanced MOS Transistors and Their Models” and “Power Basics”. These chapters are followed by chapters on the design process includiInterdict 发表于 2025-3-30 05:11:47
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