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- W3041794582 abstract "Abstract Analysing the Output Power of a Solar Photo-voltaic System at the design stage and at the same time predicting the performance of solar PV System under different weather condition is a primary work i.e . to be carried out before any installation. Due to large penetration of solar Photovoltaic system into the traditional grid and increase in the construction of smart grid, now it is required to inject a very clean and economic power into the grid so that grid disturbance can be avoided. The level of solar Power that can be generated by a solar photovoltaic system depends upon the environment in which it is operated and two other important factor like the amount of solar insolation and temperature. As these two factors are intermittent in nature hence forecasting the output of solar photovoltaic system is the most difficult work. In this paper a comparative analysis of different solar photovoltaic forecasting method were presented. A MATLAB Simulink model based on Real time data which were collected from Odisha (20.9517 ∘ N, 85.0985 ∘ E), India. were used in the model for forecasting performance of solar photovoltaic system." @default.
- W3041794582 created "2020-07-16" @default.
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- W3041794582 date "2020-01-01" @default.
- W3041794582 modified "2023-10-15" @default.
- W3041794582 title "An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network" @default.
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- W3041794582 doi "https://doi.org/10.1515/eng-2020-0073" @default.
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