Fig 6 - uploaded by Vikas pratap Singh
Content may be subject to copyright.
Source publication
The primary aim of this paper is to analyze solar power variability. Ground-based measurements of solar photovoltaic power are used for the forecasting of 43-kW A-Si SPV system. In this study, we describe the variability in the power production of solar photovoltaic plant at IIT, Jodhpur. Solar PV generation forecasting is playing a key role in acc...
Similar publications
In solar power plants, both in photovoltaic (PV) and concentrated ones, the electrical output is a key parameter for the development of solar energy. To ensure relevant predictability of electrical output, the durability of photovoltaic panels or concentrating systems has to be warranted. The assessment of the optical performance durability of the...
Future power production in Europe is expected to include large shares of variable wind and solar power production. Norway, with approximately half of the hydropower reservoir capacity in Europe, can contribute to balance the variability. The aim of this paper is to assess how such a role may impact the Norwegian hydropower system in terms of produc...
Citations
The percentage of renewable energy sources such as solar, wind power and biomass in the energy mix of India is increasing every year. Solar power variability is an important issue for grid integration of solar photovoltaic power plants. The main objective of this paper is to forecast the power generated in a 5 MW solar PV plant owned by Gujarat Power Corporation Limited (GPCL) at Charanka solar park, Gujarat. Charanka is a location with an average of320 sunny days in a year. Average solar insolation available here is 5.7???6.0 kWh/m2 per day. Data obtained from 1st March 2014???31st August 2014 is used for analysis purposes. In this paper a two-stage procedure is used referred to as GNN (Generalized Neural Network) model. In the primary stage pre-processing is done on the raw data followed by neural network model for forecasting.
