Weather-driven solar power forecasting using d-informer: Enhancing predictions with climate variables
Citation
@article{ma2024solar,
title = {Weather-driven solar power forecasting using d-informer: Enhancing predictions with climate variables},
author = {Ma, C. and Han, R. and Zhao, A. and Hu, T. and Jin, M.},
journal = {Energy Engineering},
volume = {121},
number = {5},
pages = {1245--1259},
year = {2024},
doi = {10.32604/ee.2024.046644}
}