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In the past decade, solar energy occupies an increasing share of the power grid. The intermittent fluctuations characteristics of solar irradiance bring great difficulties and challenges to the power system management and dispatch which simultaneously makes photovoltaic power forecast the most important. For this reason, pattern recognition model for weather statuses is constructed, classification...
In this paper, a new hybrid forecast method is prop-osed for short-term load forecasting (STLF) to improve prec-ision, composed of wavelet transform (WT), neural network (NN) and adaptive mutation particle swarm optimization (AMPSO). WT can efficiently decompose the time series of hourly load into the high-frequency and low-frequency comp-onents. Each component is predicted by an AMPSO-based neural...
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