Analysis and Evolution Trend of Temperature-Sensitive Loads for Virtual Power Plant Operation

Analysis and Evolution Trend of Temperature-Sensitive Loads for Virtual Power Plant Operation

With the frequent occurrence of extreme weather, the electricity consumption of temperature-sensitive loads is increasing year by year. As a high-quality regulation resource of virtual power plant (VPP), temperature-sensitive loads urgently need to be analyzed for the impact of meteorological change...

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Bibliographic Details
Main Authors: Ying ZHOU, Xuefeng BAI, Yang WANG, Min QIU, Chong SUN, Yajie WU, Bin LI
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2024-01-01
Series:Zhongguo dianli
Subjects:
temperature sensitive load forecasting
cold wave
time series generative adversarial network
virtual power plant
convolutional neural network
long short-term memory neural network
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307100

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https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307100

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