Research on Ultra-short-term combination forecasting algorithm of power load based on machine learning
Jinggeng Gao,
Kun Wang,
Xiaohua Kang
et al.
Abstract:Power load forecasting is of great significance to the power grid marketing department. To obtain accurate load forecasting results, a minute-by-minute forecasting method for electricity load based on multi-stage is proposed (TPE-WXL) by combining the non-linear and time-series attributes. Firstly, the historical series of specific areas in the city are pre-processed. Then, in order to obtain accurately predicted results, XGBoost and LightGBM are applied to extract attributes from the series to build a hybrid … Show more
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