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Load forecasting using artificial intelligence techniques: a literature survey

机译:使用人工智能技术进行负荷预测:文献调查

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摘要

The forecasting of electricity demand has become one of the major research fields in electrical engineering. In recent years, much research has been carried out on the application of artificial intelligence techniques to the load-forecasting problem. Various artificial intelligence (AI) techniques used for load forecasting are expert systems, fuzzy, genetic algorithm, artificial neural network (ANN), etc. This paper presents an extensive bibliography of more than 265 papers on load forecasting during over past 25 years.
机译:电力需求预测已成为电气工程领域的主要研究领域之一。近年来,已经在将人工智能技术应用于负荷预测问题上进行了大量研究。用于负荷预测的各种人工智能(AI)技术包括专家系统,模糊,遗传算法,人工神经网络(ANN)等。在过去的25年中,本文介绍了265篇以上的负荷预测论文。

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