Short term load forecasting
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Date
2021-05-26
Journal Title
Journal ISSN
Volume Title
Publisher
UMT Lahore
Abstract
This project is focused on the method of short-term load forecasting using the new approaches of artificial neural networks and other methodologies. A model has been proposed in the research to overcome the problems that are faced during short-term load forecasting. It is a very effective model for calculating accurate timespan and efficacy of load forecasting of activities in a utility. At the end of the report, motivation of the work has been discussed, and the conclusions of the conducted research have been provided. Based on those conclusions, it has been proposed that further research is also needed in the field.