Photovoltaic Power Generation Forecast Based on BP Neural Network and Markov Chain
WU Xue-lia · Electrotechnics Electric · 2014
In order to reduce impact of randomness generation capacity on power system, there is a need to study generation power forecast. Via analysis of factors of impact on photovoltaic generation power, this paper established the forecast model in Matlab based on BP neural network theory, realizing the short term forecast of output power and giving the method of improved forecast accuracy based on Markov chain.