International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 145 - Issue 6 |
Published: Jul 2016 |
Authors: D. K. Chaturvedi, Isha |
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D. K. Chaturvedi, Isha . Solar Power Forecasting: A Review. International Journal of Computer Applications. 145, 6 (Jul 2016), 28-50. DOI=10.5120/ijca2016910728
@article{ 10.5120/ijca2016910728, author = { D. K. Chaturvedi,Isha }, title = { Solar Power Forecasting: A Review }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 145 }, number = { 6 }, pages = { 28-50 }, doi = { 10.5120/ijca2016910728 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A D. K. Chaturvedi %A Isha %T Solar Power Forecasting: A Review%T %J International Journal of Computer Applications %V 145 %N 6 %P 28-50 %R 10.5120/ijca2016910728 %I Foundation of Computer Science (FCS), NY, USA
The increasing demand for energy is one of the biggest reasons behind the integration of solar energy into the electric grids or networks. To ensure the efficient use of energy PV systems it becomes important to forecast information reliably. The accurate prediction of solar irradiance variation can enhance the quality of service. This integration of solar energy and accurate prediction can help in better planning and distribution of energy. Here in this paper, a deep review of methods which are used for solar irradiance forecasting is presented. These methods help in selecting the appropriate forecast technique according to the needs or requirements. This paper also presents the metrics that are used for evaluating the performance of a forecast model.