Short-term wind speed forecasting in Rostamabad in Iran by a hybrid PSO–ANFIS approach
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چکیده
Wind energy has been well recognized as renewable resource in electricity generation. In this paper, a novel hybrid approach is proposed for wind speed forecasting in a Rostamabad in Iran, from 2002 to 2004. The proposed approach is based on the combination of particle swarm optimization and adaptive-network based fuzzy inference system (PSO-ANFIS). The 10-minute average wind speed data from Rostamabad in Iran are used to demonstrate the effectiveness of the proposed approach.
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