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This paper will focus on the use of load forecasting to optimize the economic operation of community battery systems.
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I was also working with engineers in Brazil and Paraguay to apply climate forecasts to optimize water resource management at Itaipu Binacional, the largest operational hydropower facility in the world.
Liu [12] applied forecasting combination to optimize results, which tended to manifest a great boost in performance.
Managing resources, infrastructure, and available information by using forecasts selectively to optimize available resources under varying levels of risk requires a picture of how conditions differ across the landscape at a spatial scale describing the local range of conditions.
Using mechanistic models for in-season yield forecasts may help to optimize crop management decisions such as absolute fertilizer rates.
Various models employed in greenhouse gases are either to determine the causative factors responsible for emission, forecast emission or to optimize.
The ANN model is combined with PSO to optimize the forecasting model.
The ANN model is combined with a genetic algorithm to optimize the forecasting model.
The SVR is applied to the task of forecasting and PSO is employed to optimize SVR parameters.
In this method, a genetic algorithm is used as a learning algorithm to train the ANN in order to optimize the forecasting method.
The hybridization of the two algorithms to optimize the forecasting model leads to a higher quality result with a faster convergence profile.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com