Staffan Andersson
Umeå University
45 Papers
356 Citations
Staffan Andersson is an academic researcher from Umeå University. The author has contributed to research in topics: Heat pump & Cystometry. The author has an hindex of 14, co-authored 43 publications.
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Papers
Long-term energy demand predictions based on short-term measured data
TL;DR: In order to obtain long-term predictions based on short-term data, a neural network model was developed in this article, where the model parameters are indoor and outdoor temperature difference and energy for heating an apartment.
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Epidural Morphine for Postoperative Pain Relief
TL;DR: There was a more rapid onset of action after intramuscular morphine, however, the quality of pain relief was substantially higher and the duration of action markedly longer after epidural morphine.
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Building energy parameter investigations based on multivariate analysis
TL;DR: System identification can be used for evaluations of how measured energy use is influenced by the operation, design and equipment of buildings and their users, but it can be difficult to access and expensive to access.
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A method for predicting the annual building heating demand based on limited performance data
TL;DR: In this article, the authors used a neural network combined with a quasi-physical description in order to predict the annual supplied space heating demand (P) for a number of small single family buildings located in the North of Sweden.
61
Sensitivity of the total heat loss coefficient determined by the energy signature approach to different time periods and gained energy
TL;DR: In order to identify buildings that have energy saving potential, there is a need for further development of robust methods for evaluation of energy performance as well as reliable key energy indicators as discussed by the authors.
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