E-LIB Suche - Ergebnisse für: Sandels, Claes

1

Evaluating the indoor radon concentrations in the Swedish b..:

Wu, Pei-Yu ; Johansson, Tim ; Mangold, Mikael..
Journal of Physics: Conference Series. 2654 (2023) 1 - p. 012086 , 2023

Link: https://doi.org/10.1088/..

2

Machine learning models for the prediction of polychlorinat..:

Wu, Pei-Yu ; Sandels, Claes ; Johansson, Tim..
Resources, Conservation and Recycling. 199 (2023) - p. 107253 , 2023

Link: https://doi.org/10.1016/..

3

Estimating the probability distributions of radioactive con..:

Wu, Pei-Yu ; Johansson, Tim ; Mangold, Mikael..
Expert Systems with Applications. 222 (2023) - p. 119812 , 2023

Link: https://doi.org/10.1016/..

4

Indoor radon interval prediction in the Swedish building st..:

Wu, Pei-Yu ; Johansson, Tim ; Sandels, Claes..
Building and Environment. 245 (2023) - p. 110879 , 2023

Link: https://doi.org/10.1016/..

5

Predicting the presence of hazardous materials in buildings..:

Wu, Pei-Yu ; Sandels, Claes ; Mjörnell, Kristina..
Building and Environment. 213 (2022) - p. 108894 , 2022

Link: https://doi.org/10.1016/..

6

A Data-Driven Approach to Assess the Risk of Encountering H..:

Wu, Pei-Yu ; Mjörnell, Kristina ; Mangold, Mikael..
Sustainability. 13 (2021) 14 - p. 7836 , 2021

Link: https://doi.org/10.3390/..

7

Using Machine Learning to Enrich Building Databases—Methods..:

von Platten, Jenny ; Sandels, Claes ; Jörgensson, Kajsa...
Energies. 13 (2020) 10 - p. 2574 , 2020

Link: https://doi.org/10.3390/..

8

Controlling a retailer's short‐term financial risk exposure..:

Brolin, Magnus ; Sandels, Claes
IET Generation, Transmission & Distribution. 13 (2019) 22 - p. 5160-5170 , 2019

Link: https://doi.org/10.1049/..

9

Clustering Residential Customers with Smart Meter data usin..:

, In: 2019 9th International Conference on Power and Energy Systems (ICPES),

Sandels, Claes ; Kempe, Marcus ; Brolin, Magnus. - p. 1-6 , 2019

Link: https://doi.org/10.1109/..

10

Modelling Framework and the Quantitative Analysis of Distri..:

Han, Xue ; Sandels, Claes ; Zhu, Kun.
International Journal of Emerging Electric Power Systems. 14 (2013) 5 - p. 421-431 , 2013

Link: https://doi.org/10.1515/..

11

Machine learning models for the prediction of polychlorinat..:

Wu, Pei-Yu ; Sandels, Claes ; Johansson, Tim..
https://lup.lub.lu.se/record/4375ecb4-67d7-4558-b9dc-caef0f357620. , 2023

Link: https://lup.lub.lu.se/re..

12

Evaluating the Indoor Radon Concentrations in the Swedish B..:

Wu, Pei-Yu ; Johansson, Tim ; Mangold, Mikael..
https://lup.lub.lu.se/record/c681f6ce-4a1a-4e90-8145-d62f09d087c9. , 2023

Link: https://lup.lub.lu.se/re..

13

Indoor radon interval prediction in the Swedish building st..:

Wu, Pei-Yu ; Johansson, Tim ; Sandels, Claes..
https://lup.lub.lu.se/record/0435d56a-576f-4f98-8a4e-264ffe58e57e. , 2023

Link: https://lup.lub.lu.se/re..

14

Estimating the probability distributions of radioactive con..:

Wu, Pei-Yu ; Johansson, Tim ; Mangold, Mikael..
https://lup.lub.lu.se/record/f43d71d5-abee-4cd1-b90b-3e7e4d4437b3. , 2023

Link: https://lup.lub.lu.se/re..

15

Predicting the presence of hazardous materials in buildings..:

Wu, Pei-Yu ; Sandels, Claes ; Mjörnell, Kristina..
https://lup.lub.lu.se/record/3329aaf6-9226-4b72-b4a6-67a8bfc754fe. , 2022

Link: https://lup.lub.lu.se/re..