A Weather-Induced Power Load Forecasting Method Based on Asymmetric Single Valley Curves
Author:
Affiliation:
1. Carbon Neutrality Research Center of Power System China Electric Power Research Institute,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10455091/10455110/10455738.pdf?arnumber=10455738
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1. Sensitivity Analysis of Meteorological Factors to Summer Maximum Power Load;Ren;Meteorological Monthly,2020
2. Relationship between daily maximum electric power load and meteorological factors in summer in Beijing;Li;Journal of Meteorology and Environment,2018
3. Temperaturelowering Load Estimation Method Based on Meteorological Data and Entropy Weight Theory;Xie;Automation of Electric Power Systems,2016
4. Substantial increase in daytime-nighttime compound heat waves and associated population exposure in China projected by the CMIP6 multimodel ensemble
5. How Extreme Events in China Would Be Affected by Global Warming—Insights From a Bias‐Corrected CMIP6 Ensemble
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