Localizing weather forecasts for enhanced heat load forecast accuracy in urban district heating systems
Author:
Affiliation:
1. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
Funder
Innovation Fund Denmark
Region Hovedstaden
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/14786451.2023.2271261
Reference21 articles.
1. Aalborg Nielsen H. and H. Madsen. 2000. “Predicting the Heat Consumption in District Heating Systems Using Meteorological Forecasts.”
2. Bacher P. H. G. Bergsteinsson L. Frölke M. L. Sørensen J. Lemos-Vinasco J. Liisberg J. K. Møller H. A. Nielsen and H. Madsen. 2021. “Onlineforecast: An R Package for Adaptive and Recursive Forecasting.” Preprint arXiv:2109.12915.
3. Short-term heat load forecasting for single family houses
4. Meteorological and Air Quality Models for Urban Areas
5. The quiet revolution of numerical weather prediction
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