A Survey on Electric Power Demand Forecasting

Sandip Ashok Shivarkar, S. Malik
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引用次数: 2

Abstract

Recently there has been tremendous change in use of the forecasting techniques due to the increase in availability of the power generation systems and the consumption of the electricity by different utilities. In the field of power generation and consumption it is important to have the accurate forecasting model to avoid the different losses. With the current development in the era of smart grids, it integrates electric power generation, demand and the storage, which requires more accurate and precise demand and generation forecasting techniques. This paper relates the most relevant studies on electric power demand forecasting, and presents the different models. This paper proposes a novel approach using machine learning for electric power demand forecasting.
电力需求预测研究综述
最近,由于发电系统的可用性增加以及不同公用事业单位的电力消耗,预测技术的使用发生了巨大变化。在发电和用电领域,准确的预测模型是避免不同损失的重要手段。随着当前智能电网时代的发展,它将发电、需求和存储集成在一起,这就需要更加准确和精确的需求和发电预测技术。本文对电力需求预测的相关研究进行了综述,并介绍了不同的预测模型。本文提出了一种利用机器学习进行电力需求预测的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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