Daniel Ramos, Pedro Faria, Zita Vale. Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption. In Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva, Zheng Ma 0002, editors, Energy Informatics - Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6-8, 2023, Proceedings, Part II. Volume 14468 of Lecture Notes in Computer Science, pages 51-62, Springer, 2023. [doi]
@inproceedings{RamosFV23,
title = {Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption},
author = {Daniel Ramos and Pedro Faria and Zita Vale},
year = {2023},
doi = {10.1007/978-3-031-48652-4_4},
url = {https://doi.org/10.1007/978-3-031-48652-4_4},
researchr = {https://researchr.org/publication/RamosFV23},
cites = {0},
citedby = {0},
pages = {51-62},
booktitle = {Energy Informatics - Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6-8, 2023, Proceedings, Part II},
editor = {Bo Nørregaard Jørgensen and Luiz Carlos Pereira da Silva and Zheng Ma 0002},
volume = {14468},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-48652-4},
}