Zobrazeno 1 - 10
of 102
pro vyhledávání: '"heat load forecast"'
Autor:
Bergsteinsson, Hjörleifur G.1 (AUTHOR) hgbe@dtu.dk, Sørensen, Mikkel L.1 (AUTHOR), Møller, Jan Kloppenborg1 (AUTHOR), Madsen, Henrik1 (AUTHOR)
Publikováno v:
International Journal of Sustainable Energy. Dec2024, Vol. 43 Issue 1, p1-11. 11p.
Publikováno v:
International Journal of Sustainable Energy, Vol 43, Iss 1 (2024)
ABSTRACTWeather forecasts are essential for district heating (DH) utility operations as they prepare the utility for future consumption, thus ensuring optimal operation by supplying sufficient heat while keeping costs low. Weather forecasts are usual
Externí odkaz:
https://doaj.org/article/22996a1941454a88ba04f56686850818
Kniha
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Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811367328
ICSCIB
ICSCIB
In urban district heating systems, the change of heat load is greatly influenced by various exterior factors. In order to meet the demand of heating system while achieving energy conservation and environmental protection, it is in this study, many ki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d96ffe772a648aa497b8aa84eb75013
https://doi.org/10.1007/978-981-13-6733-5_49
https://doi.org/10.1007/978-981-13-6733-5_49
Publikováno v:
2017 Chinese Automation Congress (CAC).
A concatenated LSTM (Long Short-Term Memory) architecture for CHP (combined heat and power) heat load forecasting was presented. Firstly, input data was normalized and separated into historical climate and heat load data. Then feed the separated data
Publikováno v:
Dahl, M, Andresen, G & Brun, A 2016, Applications of a heat load forecast with dynamic uncertainties . in H Lund (ed.), 2nd International Conference on Smart Energy Systems and 4th Generation District Heating : Abstracts . Aalborg Universitet, 2nd International Conference on Smart Energy Systems and 4th Generation District Heating, Aalborg, Denmark, 27/09/2016 . < http://vbn.aau.dk/files/248961184/Abstracts_Conference_2016.pdf >
Aarhus University
Aarhus University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b7a71766ef0e125c2c6870667390ec86
https://pure.au.dk/portal/da/publications/applications-of-a-heat-load-forecast-with-dynamic-uncertainties(7366b172-d3e7-4e59-bddb-1ce511c918d9).html
https://pure.au.dk/portal/da/publications/applications-of-a-heat-load-forecast-with-dynamic-uncertainties(7366b172-d3e7-4e59-bddb-1ce511c918d9).html
Conference
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Publikováno v:
IOP Conference Series: Materials Science and Engineering. 392:062173
A gated recurrent units (GRU) network based encoder-decoder (E-D) model is proposed for combined heat and power (CHP) heat load forecasting. First, we use the GRU based E-D model as an auto-encoder to map the historical CHP heat load time series into
Conference
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Autor:
Henrik Madsen, Daniela Guericke, Peter Nystrup, Jan Kloppenborg Møller, Hjörleifur G. Bergsteinsson, Olafur Petur Palsson
Publikováno v:
Bergsteinsson, H G, Møller, J K, Nystrup, P, Pálsson, Ó P, Guericke, D & Madsen, H 2021, ' Heat load forecasting using adaptive temporal hierarchies ', Applied Energy, vol. 292, 116872 . https://doi.org/10.1016/j.apenergy.2021.116872
Heat load forecasts are crucial for energy operators in order to optimize the energy production at district heating plants for the coming hours. Furthermore, forecasts of heat load are needed for optimized control of the district heating network sinc