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http://dx.doi.org/10.18770/KEPCO.2022.08.01.21

Renewable Power Generation Forecasting Method for Distribution System: A Review  

Cho, Jintae (KEPCO Research Institute, Korea Electric Power Corporation)
Kim, Hongjoo (KEPCO Research Institute, Korea Electric Power Corporation)
Ryu, Hosung (KEPCO Research Institute, Korea Electric Power Corporation)
Cho, Youngpyo (KEPCO Research Institute, Korea Electric Power Corporation)
Publication Information
KEPCO Journal on Electric Power and Energy / v.8, no.1, 2022 , pp. 21-29 More about this Journal
Abstract
Power generated from renewable energy has continuously increased recently. As the distributed generation begins to interconnect in the distribution system, an accurate generation forecasting has become important in efficient distribution planning. This paper explained method and current state of distributed power generation forecasting models. This paper presented selecting input and output variables for the forecasting model. In addition, this paper analyzed input variables and forecasting models that can use as mid-to long-term distributed power generation forecasting.
Keywords
Distribution power system planning; Distributed power generation forecasting; Hybrid forecasting model;
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