Citations refer to the original publication, not to a Scieee localized version.
Kemper, N., Heider, M., Pietruschka, D., & Hähner, J. (2023). Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study. Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer. https://doi.org/10.1007/s12667-023-00579-y
Kemper, Neele, et al. Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study. Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer, 2023. https://doi.org/10.1007/s12667-023-00579-y.
Kemper, Neele, Michael Heider, Dirk Pietruschka, and Jörg Hähner. Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study. Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer, 2023. https://doi.org/10.1007/s12667-023-00579-y.
Kemper, N. et al. (2023) Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study. Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer. Available at: https://doi.org/10.1007/s12667-023-00579-y.
N. Kemper, M. Heider, D. Pietruschka, and J. Hähner, “Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study,” Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer, 2023, doi: 10.1007/s12667-023-00579-y.
@misc{kemper2023forecasting,
author = {Kemper, Neele and Heider, Michael and Pietruschka, Dirk and Hähner, Jörg},
title = {Forecasting of residential unit’s heat demands: a comparison of machine learning techniques in a real-world case study},
year = {2023},
publisher = {Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer},
doi = {10.1007/s12667-023-00579-y},
url = {https://doi.org/10.1007/s12667-023-00579-y}
}
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