Chaitanya Poolla

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Solar power prediction remains an important challenge for renewable energy integration primarily due to its inherent variability and intermittency. In this work, a neural network based solar power forecasting framework is developed for the NASA Ames Sustainability Base (SB) solar array using the publicly available National Oceanic and Atmospheric(More)
Fossil fuels energy consumption leads to the major global problems such as shortage of energy and the climate changes and these problems can be solved by efficient use of renewable energy resources. Photovoltaic power generation is expanding rapidly because of the growing interest in the renewable energy resources. In this paper, detailed photovoltaic(More)
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