Article ID Journal Published Year Pages File Type
1550727 Solar Energy 2017 12 Pages PDF
Abstract
► We assess forecasting techniques for PV power production without exogenous inputs. ► We test five different methods: Persistent, ARIMA, kNN, ANN and GA optimized ANN. ► ANN and ANN optimized models perform better than persistent, kNN and ARIMA. ► Forecasting error depends strongly on the season. ► GA method efficiently determines ANN inputs and general topology.
Related Topics
Physical Sciences and Engineering Energy Renewable Energy, Sustainability and the Environment
Authors
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