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Through this paper, the fuzzy time series (FTS) model was suggested to obtain better forecasted values and increases the forecasting accuracy. This accuracy ...
Through this paper, the fuzzy time series (FTS) model was suggested to obtain better forecasted values and increases the forecasting accuracy. This accuracy ...
In electrical power management, load forecasting accuracy is an indispensable factor which in°uences the decision making and planning of power companies in ...
Aug 25, 2023 · The aim is to develop a model for forecasting electric power demand using fuzzy logic. This study compares the proposed solution with previously developed ...
This paper tests and compares two types of modelling to predict the same time series. A time series of electric load was observed and, as a case study, ...
This paper proposes the application of advanced fuzzy time series in order to provide short-term load forecasting, which consists of predicting future ...
Aug 16, 2023 · The aim is to develop a model for forecasting electric power demand using fuzzy logic. This study compares the proposed solution with ...
Through this paper, the fuzzy time series (FTS) model was suggested to obtain better forecasted values and increases the forecasting accuracy. This accuracy ...
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An adaptive fuzzy correction scheme is used to forecast the final load by using a fuzzy rule base and fuzzy inference mechanism. Extensive studies have been ...
Through this paper, the fuzzy time series (FTS) model was suggested to obtain better forecasted values and increases the forecasting accuracy. This accuracy ...