Short-Term Electricity Price Forecasting via Hybrid Backtracking Search Algorithm and ANFIS Approach
In this paper, a hybrid electricity price forecasting method which is composed of two-stage feature selection method and optimized adaptive neuro-fuzzy inference system (ANFIS) technique as a forecasting engine is proposed to accurately forecast electricity price.A multi-objective feature selection approach comprises of multi-objective binary-value