A Hybrid Artificial Neural Network and VEPSO based on Day-ahead Price Forecasting of Electricity Markets
نویسندگان
چکیده
In this paper a new Hybrid technique of Artificial Neural Network (ANN) and Vector Evaluated Particle Swarm Optimization (VEPSO) is presented as a forecasting strategy for day-ahead price of electricity market. The proposed technique the proposed intelligent technique is applied to weights and bias of ANN to improve the learning capability through the minimum error. A comprehensive comparative analysis with other soft computing and hybrid models shows a significant improvement in forecast error, through the application of a proposed hybrid model. The proposed technique is tested on PJM electricity market through comparison with other strategies for this problem.
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