A Review of Power System Load Forecasting Based on Artificial Intelligence Algorithms
Under the environment of energy internet,the intermittency problem brought by large-scale integration of new energy sources such as wind and photovoltaic generations impacts stable operation of the power system.The conventional load forecasting methods can no longer guarantee their accuracy for this situation,and the forecasting methods based on artificial intelligence algorithms have found wide application.This paper encompasses first an outline on classification and necessity of power system load forecasting methods,and then a summary of the AI algorithm-based methods from the perspectives of different algorithm classes,i.e.,conventional machine learning,deep learning,and combined models.The paper ends with a future outlook of this fast advancing field.
power system load forecastingconventional machine learningdeep learningcombinatorial model
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