Systems and methods of hierarchical forecasting of solar photovoltaic energy production
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United States of America Patent
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Jan 3, 2023
Grant Date -
Jul 19, 2018
app pub date -
Jan 18, 2018
filing date -
Jan 18, 2017
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Abstract
A photovoltaic system can include multiple photovoltaic power inverters that convert sunlight to power. An amount of power for each of the inverters can be measured over a period of time. These measurements, along with other data, can be collected. The collected measurements can be used to generate artificial neural networks that predict the output of each inverter based on input parameters. Using these neural networks, the total solar power generation forecast for the photovoltaic system can be predicted.
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