Assessing Methodological Validity and Variable Considerations for Forecasting Renewable Energy Load Requirements: A Review-Reference-Cited by-同舟云学术

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Assessing Methodological Validity and Variable Considerations for Forecasting Renewable Energy Load Requirements: A Review

Published:2024-04-02 Issue: Volume: Page:1-9
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
language:
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Author:

Olagunju Ademola P.¹,Olusanya Olamide O.²,Olaleye Taiwo³

Affiliation:

1. Bells University of Technology,Department of Electrical/Electronics and Telecommunication Engineering,Ota,Ogun State,Nigeria

2. Bells University of Technology,Department of Computer Engineering,Ota,Ogun State,Nigeria

3. Federal University of Agriculture,Department of Computer Science,Abeokuta,Ogun State,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10629759.pdf?arnumber=10629759

Reference32 articles.

1. Climate change caused by renewable and non-renewable energy consumption and economic growth: A time series ARDL analysis for Turkey

2. A deep convolutional neural network for predicting electricity consumption at Grey Nuns building in Canada

3. A systematic review of systematic review process research in software engineering

4. Predictive Analytics and Software Defect Severity: A Systematic Review and Future Directions

5. Parametric optimization for dimensional correctness of 3D printed part using masked stereolithography: Taguchi method

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