Analysing and Forecasting Electricity Demand and Price Using Deep Learning Model During the COVID-19 Pandemic

Israt Fatema, Xiaoying Kong, Gengfa Fang. Analysing and Forecasting Electricity Demand and Price Using Deep Learning Model During the COVID-19 Pandemic. In Li Ning 0001, Vincent Chau, Francis C. M. Lau, editors, Parallel Architectures, Algorithms and Programming - 11th International Symposium, PAAP 2020, Shenzhen, China, December 28-30, 2020, Proceedings. Volume 1362 of Communications in Computer and Information Science, pages 115-127, Springer, 2020. [doi]

@inproceedings{FatemaKF20,
  title = {Analysing and Forecasting Electricity Demand and Price Using Deep Learning Model During the COVID-19 Pandemic},
  author = {Israt Fatema and Xiaoying Kong and Gengfa Fang},
  year = {2020},
  doi = {10.1007/978-981-16-0010-4_11},
  url = {https://doi.org/10.1007/978-981-16-0010-4_11},
  researchr = {https://researchr.org/publication/FatemaKF20},
  cites = {0},
  citedby = {0},
  pages = {115-127},
  booktitle = {Parallel Architectures, Algorithms and Programming - 11th International Symposium, PAAP 2020, Shenzhen, China, December 28-30, 2020, Proceedings},
  editor = {Li Ning 0001 and Vincent Chau and Francis C. M. Lau},
  volume = {1362},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-16-0010-4},
}