Solar PV Power Forecasting Approach Based on Hybrid Deep Neural Network

Kuo-Chi Chang, Abdalaziz Altayeb Ibrahim Omer, Kai-Chun Chu, Fu-Hsiang Chang, Hsiao-Chuan Wang, Yuh-Chung Lin, Trong-The Nguyen, Tien-Wen Sung 0001. Solar PV Power Forecasting Approach Based on Hybrid Deep Neural Network. In Aboul Ella Hassanien, Kuo-Chi Chang, Mincong Tang, editors, Advanced Machine Learning Technologies and Applications - Proceedings of AMLTA 2021, Cairo, Egypt, March 22-24, 2021. Volume 1339 of Advances in Intelligent Systems and Computing, pages 125-133, Springer, 2021. [doi]

@inproceedings{ChangOCCWLN021,
  title = {Solar PV Power Forecasting Approach Based on Hybrid Deep Neural Network},
  author = {Kuo-Chi Chang and Abdalaziz Altayeb Ibrahim Omer and Kai-Chun Chu and Fu-Hsiang Chang and Hsiao-Chuan Wang and Yuh-Chung Lin and Trong-The Nguyen and Tien-Wen Sung 0001},
  year = {2021},
  doi = {10.1007/978-3-030-69717-4_13},
  url = {https://doi.org/10.1007/978-3-030-69717-4_13},
  researchr = {https://researchr.org/publication/ChangOCCWLN021},
  cites = {0},
  citedby = {0},
  pages = {125-133},
  booktitle = {Advanced Machine Learning Technologies and Applications - Proceedings of AMLTA 2021, Cairo, Egypt, March 22-24, 2021},
  editor = {Aboul Ella Hassanien and Kuo-Chi Chang and Mincong Tang},
  volume = {1339},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-69717-4},
}