A Research on Electric Load Forecasting Factors Effecting and Methods Involved
R. Hariharan1, More Kranthi Kumar2
1R. Hariharan*, Associate Professor, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Science, Chennai, Tamil Nadu, India.
2More Kranthi Kumar, UG Scholar, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Science, Chennai, Tamil Nadu, India
Manuscript received on September 17, 2019. | Revised Manuscript received on 26 September, 2019. | Manuscript published on October 10, 2019. | PP: 1462-1466 | Volume-8 Issue-12, October 2019. | Retrieval Number: L39511081219/2019©BEIESP | DOI: 10.35940/ijitee.L3951.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Why load forecasting? And what are the methods are there up to now and methods yet to come in future to do electrical load forecasting. This paper presented a detailed study on electrical load forecasting with traditional; Knowledge based expert systems, artificial intelligent techniques and Hybrid techniques (EMD and ANN) with a brief explanation about the conventional and non-conventional methods of electrical load forecasting. And a very clear individual comparison of both conventional and non-conventional methods.
Keywords: EMD, ANN, Hybrid, Conventional Method, EEMD.
Scope of the Article: Operational Research