Prototype Design of Modified Mechanical Drive Train Gear Box System using ANSYS for Wind Power Generation

Biswal, Anupriya; Ganthia, Bibhu Prasad; Satapathy, Subhasmita; Patra, Shilpa; Bhatta, Sunil Kumar; Mohanty, Monalisa

doi:10.1109/icais53314.2022.9743077

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Artificial Neural Network1

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2023

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“…The network usually gets information from the input & output data using training techniques and transfer functions. Backpropagation is one of the supervised learning programs that utilize the universal function approximate to make use of a quadratic error function's gradient descent [36]- [37]. The gradient descent methodology is used during the learning phase to minimize the total error of the network's output generated.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Artificial Neural Network Optimized Load Forecasting of Smartgrid using MATLAB

Ganthia,

Mohanty,

Mohapatra

et al. 2023

Control Syst. Optim. Lett.

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The motivation behind the research is the requirement of error-free load prediction for the power industries in India to assist the planners in making important decisions on unit commitments, energy trading, system security reliability, and optimal reserve capacity. The objective is to produce a desktop version of a personal computer-based complete expert system that can be used to forecast the future load of a smart grid. Using MATLAB, we can provide adequate user interfaces in graphical user interfaces. This paper devotes a study of load forecasting in smart grids, a detailed study of the architecture and configuration of Artificial Neural Network (ANN), Mathematical modeling and implementation of ANN using MATLAB, and a detailed study of load forecasting using the backpropagation algorithm.

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Section: Artificial Neural Networkmentioning

confidence: 99%