Comparison of Inputs Correlation and Explainable Artificial Intelligence Recommendations for Neural Networks Forecasting Electricity Consumption - researchr publication authors

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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]

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