Electricity Load/demand Forecasting in Sri Lanka using Deep Learning Techniques

A.A.K.U Abeysingha, Sritharan A.S,R Valluvan,K Ahilan,D.H.G.A.E Jayasinghe

2021 10th International Conference on Information and Automation for Sustainability (ICIAfS)(2021)

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摘要
Most of the time electricity cannot be stored, it should be generated as soon as it is demanded. Therefore, electricity demand forecasting is a vital process in the planning of electricity industry and the operation of electric power systems. Two major scenarios should be considered when forecasting the electricity demand. They are short term and long term forecasting scenarios. The short term sce...
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关键词
Demand forecasting,short term forecast,long term forecast,deep learning,neural network,regression
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