Short term load forecasting

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dc.contributor.authorFahad Iftikhar
dc.contributor.authorHafiz Faizan Butt
dc.contributor.authorHamza Tahir
dc.date.accessioned2025-12-21T15:30:35Z
dc.date.available2025-12-21T15:30:35Z
dc.date.issued2021-05-26
dc.description.abstractThis 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.
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/17507
dc.language.isoen
dc.publisherUMT Lahore
dc.titleShort term load forecasting
dc.typeThesis
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