Enhanced Short-Term Photovoltaic Power Prediction using a Hybrid Improved Whale Optimization Algorithm with XGBoost
Author:
Affiliation:
1. St. Joseph’s University,Dept of Advanced Computing,Bengaluru,India
2. Shri Ram Murti Smarak College of Engineering & Technology,Dept of Electrical & Electronics Engg,Bareilly,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10537233/10537237/10537570.pdf?arnumber=10537570
Reference13 articles.
1. The role of renewable energy in the global energy transformation
2. Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network
3. Exploring Time Series Models for Wind Speed Forecasting: A Comparative Analysis;Li;Energies,2023
4. A Hybrid Improved Whale Optimization Algorithm with Support Vector Machine for Short-Term Photovoltaic Power Prediction
5. Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation
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1. Detection of Typical Transient Signals in Water by XGBoost Classifier Based on Shape Statistical Features: Application to the Call of Southern Right Whale;Journal of Marine Science and Engineering;2024-09-09
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