A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand

Seok-Jun Bu, Sung-Bae Cho. A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand. In Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero 0001, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 18th International Conference, HAIS 2023, Salamanca, Spain, September 5-7, 2023, Proceedings. Volume 14001 of Lecture Notes in Computer Science, pages 519-532, Springer, 2023. [doi]

@inproceedings{BuC23-0,
  title = {A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand},
  author = {Seok-Jun Bu and Sung-Bae Cho},
  year = {2023},
  doi = {10.1007/978-3-031-40725-3_44},
  url = {https://doi.org/10.1007/978-3-031-40725-3_44},
  researchr = {https://researchr.org/publication/BuC23-0},
  cites = {0},
  citedby = {0},
  pages = {519-532},
  booktitle = {Hybrid Artificial Intelligent Systems - 18th International Conference, HAIS 2023, Salamanca, Spain, September 5-7, 2023, Proceedings},
  editor = {Pablo García Bringas and Hilde Pérez García and Francisco Javier Martínez de Pisón and Francisco Martínez-Álvarez and Alicia Troncoso Lora and Álvaro Herrero 0001 and José Luís Calvo-Rolle and Héctor Quintián and Emilio Corchado},
  volume = {14001},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-40725-3},
}