基于人工神经网络的一小时前短期电价预测

Ayushi Yadav, A. Sahay, M. Yadav, Somiya Bhandari, Abha Yadav, Kishan Bhushan Sahay
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引用次数: 8

摘要

在新形成的电价市场环境下进行决策,最重要的参数是电价预测。在当今竞争激烈的市场中,如果没有价格预测,生产者和消费者就很难弄清楚或计划他们的价格经营和管理。短期电价预测是用户和发电企业获取准确竞价技术、提高企业净利润的一种工具。在这篇研究论文中,人工智能(AI)正在被用于预测。另一种模拟神经系统(SNS)利用MATLAB R14a对安大略省电力市场的估算成本进行登记。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
One hour Ahead Short-Term Electricity Price Forecasting Using ANN Algorithms
For decision making in context of newly formed electricity price market the most essential parameter is price forecasting of electricity. Without price forecasting it is very hectic for producers and consumers to figure out or plan their operation and management of price in today’s competitive market. Short term price forecasting is a tool to consumer and power producer for accurate bidding techniques to enhance their net profit. In this research paper artificial intelligence (AI) is being used for forecasting. Another simulated neural system (SNS) has been utilized to register the estimated cost in Ontario power market utilizing MATLAB R14a.
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