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Prediction of Unsteady Indoor-Temperature with Few Pattern Data Learning and Prediction Model Selection Based on Feature Contribution

Sotaro Maejima, Keisuke Tsunoda, Midori Kodama, Naoki Arai, Kazuaki Obana. Prediction of Unsteady Indoor-Temperature with Few Pattern Data Learning and Prediction Model Selection Based on Feature Contribution. In 4th International Conference on Artificial Intelligence for Industries, AI4I 2021, Laguna Hills, CA, USA, September 20-22, 2021. pages 69-74, IEEE, 2021. [doi]

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