Electrical Load Forecasting Using Bayesian Regularization Algorithm in Matlab and Finding Optimal Solution via Renewable Source-Reference-Cited by-同舟云学术

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Electrical Load Forecasting Using Bayesian Regularization Algorithm in Matlab and Finding Optimal Solution via Renewable Source

Published:2023-05-11 Issue: Volume: Page:41-57
ISSN:
Container-title:Intelligent and Soft Computing Systems for Green Energy
language:
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Author:

Singh Chinmay,Sawle Yashwant,Kumar Navneet,Jha Utkarsh,Arunkumar L.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781394167524.ch3

Reference30 articles.

1. An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting

2. A Review of Short Term Load Forecasting using Artificial Neural Network Models

3. Prediction of alcohol abused individuals using artificial neural network

4. Load forecasting techniques and methodologies: A review

5. Recent Trends in Load Forecasting Technology for the Operation Optimization of Distributed Energy System

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Approach for Electricity Load Forecasting using Hybrid Deep Learning Models;2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE);2024-02-16

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