A New Method for Generating Short-Term Power Forecasting Based on Artificial Neural Networks and Optimization Methods for Solar Photovoltaic Power Plants
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-6151-7_8
Reference58 articles.
1. Razak A, Irwan YM, Leow WZ, Irwanto M, Safwati I, Zhafarina M (2016) Investigation of the effect temperature on photovoltaic (PV) panel output performance. Int J Adv Sci Eng Inf Technol 6(5):682–688
2. Chang W-Y (2014) A literature review of wind forecasting methods. J Power Energy Eng 2(4)
3. Mellit A, Pavan AM (2010) A 24-h forecast of solar radiance using artificial neural network: application for performance prediction of a grid-connected PV plant at Trieste, Italy. Sol Energy 84(5):807–821
4. Sperati S, Alessandrini S, Delle Monache L (2016) An application of the ECMWF ensemble prediction system for short-term solar power forecasting. Sol Energy 133:437–450
5. Ahmad A, Anderson TN, Lie TT (2015) Hourly global solar radiation forecasting for New Zealand. Sol Energy 122:1398–1408
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