An interactive web-based solar energy prediction system using machine learning techniques
Author:
Affiliation:
1. Department of Computer Science and Engineering, National Institute of Technology, Warangal, India
2. San Jose State University, San Jose, CA, USA
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Business, Management and Accounting (miscellaneous),Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/23270012.2023.2209883
Reference42 articles.
1. Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
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4. Quantifying rooftop photovoltaic solar energy potential: A machine learning approach
5. Symbiotic Relationship Between Machine Learning and Industry 4.0: A Review
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