International Journal of Emerging Trends in Science and Technology

2022 | Volume 8 | Issue Issue 2

Efficient ANN Topologies for Economic Load Dispatch - An Experiment

1. Umapathi Krishnamoorthy – M.kumarasamy College Of Engineering, Karur, Tamil Nadu, India.

Received
17-Feb-2023 		Accepted
- 		Published
17-Feb-2023
Abstract
A proven truth is that most complex non-linear problems can be effectively solved by using Artificial Neural Networks. And hence this paper addresses the economic load dispatch in the power distribution sector of electrical engineering. There are ‘N’ number of quantities that affect the load dispatch and thus its optimization demands laborious training to achieve good results. This paper studies the prediction accuracy of three different ANN topologies on a 3- source 5-bus system. Topology used includes Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) and Deep Feed Forward (DFF) networks and their corresponding results were portrayed.
Keywords Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Deep Feed Forward (DFF), Recurrent Neural Network (RNN), Economic Load Dispatch (ELD), Artificial Neural Network, Power System.
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