Effect of Artificial Neural Network Approach in Load Forecasting Methods
L. R. Aravind Babu
L. R. Aravind Babu, Assistant Professor, Department of Computer and Information Science, Annamalai University, Annamalai Nagar (TamilNadu), India.
Manuscript received on 05 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 19 June 2019 | PP: 38-41 | Volume-8 Issue-8S June 2019 | Retrieval Number: H10080688S19/19©BEIESP
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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: Artificial Neural Networks are the machine models impressed by the human brain and this intelligence technique that has found major applications in engineering and science. Several of the recent advancements are created within the field of computing, together with Voice Recognition, Image Recognition, and AI victimization Artificial Neural Networks. Artificial neural network (ANN) has been used for several years in sectors and disciplines like bioscience, defense business, robotics, natural philosophy, economy, forecasts, etc. These biological ways of computing are thought of to be consecutive major advancement within the Computing business. An outsized kind of mathematical ways are developed for load prediction. During this paper, I discuss and reviewed numerous approaches to load prediction victimization artificial neural network.
Keywords: Neural Network, Load Forecasting, Back-Propagation, Reg
Scope of the Article: Neural Information Processing