2019
DOI: 10.30534/ijatcse/2019/77832019
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Next-Hour Electrical Load Forecasting using an Artificial Neural Network: Applicability in the Philippines

Abstract: Load forecasting remains as an important activity for the power systems industry, being a critical ystem. With the increasing amount of implemented microgrids across the Philippines, there is merit in investigating localized load forecasting schemes for use in assigning the dispatch of the microgrid's resource at any given time. This study reviews the use of an artificial neural network (ANN) as a next-hour load forecasting method in the Philippine setting.

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Cited by 25 publications
(25 citation statements)
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“…The equation for the Percentage Error was used to compute for the difference between the data obtainsed by the device and the hygrometer [37,38]. The average percentage error was used to determine the accuracy of the results obtained [39,40].…”
Section: Results and Discussion 51 Technical Analysis On Temperature And Humiditymentioning
confidence: 99%
“…The equation for the Percentage Error was used to compute for the difference between the data obtainsed by the device and the hygrometer [37,38]. The average percentage error was used to determine the accuracy of the results obtained [39,40].…”
Section: Results and Discussion 51 Technical Analysis On Temperature And Humiditymentioning
confidence: 99%
“…This ensures the efficiency and the effectiveness of the system. When making it to a program, the system structures of [16,17,18] can be used while the database structure of [19] can be patterned.…”
Section: Discussionmentioning
confidence: 99%
“…Devices that can enhance signal strength using the radio path loss as the guide are recommended for more extensive research as well. For database configurations it can follow the studies of [32,33,34]. These can be used by telecommunication companies for when planning out the coverage of their network systems.…”
Section: Recommendationsmentioning
confidence: 99%