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电力价格是电力市场中最敏感的经济信号,未来的电厂报价信息是市场分析与预测系统重要的未知数据。如何准确的预测电厂报价信息,直接影响到市场分析与预测系统的准确性。介绍了模糊聚类(FCM)算法在电力市场竞价中的应用,提出了基于模糊聚类(FCM)和人工神经网络(ANN)的电力市场报价策略。
Electricity price is the most sensitive economic signal in the electricity market. The future power plant quotation information is an important unknown data in the market analysis and forecasting system. How to predict the quotation of power plant accurately has a direct impact on the accuracy of the market analysis and forecast system. This paper introduces the application of fuzzy clustering (FCM) in the bidding of electricity market, and proposes the electricity market quotation strategy based on fuzzy clustering (FCM) and artificial neural network (ANN).