State of Art on Short Term Load Forecasting Using Artificial Neural Network
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2018, Vol 13, Issue 3
Abstract
Due to centralized power system and continuous varying nature of load it is very difficult to balance demand and generation at all time. It is due to the fact that generation can’t be controlled with the same pace as load due to restriction in instantaneous change in input to power plant. Many different techniques have been proposed in the past for the purpose of short term load forecasting.In this paper a literature survey of load forecasting techniques is presented so as to compare different work that has happened previously.
Authors and Affiliations
Ms. Surbhi Bansal, Mr. Rakesh Singh Lodhi, Dr. Pragya Nema
Keywords
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- EP ID EP388775
- DOI 10.9790/1676-1303028085.
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