Forecasting household consumer electricity load profiles with a combined physical and behavioral approach C Sandels, J Widén, L Nordström Applied Energy 131, 267-278, 2014 | 123 | 2014 |
Day-ahead predictions of electricity consumption in a Swedish office building from weather, occupancy, and temporal data C Sandels, J Widén, L Nordström, E Andersson Energy and Buildings 108, 279-290, 2015 | 86 | 2015 |
Vehicle to grid—Monte Carlo simulations for optimal aggregator strategies C Sandels, U Franke, N Ingvar, L Nordström, R Hamren 2010 International Conference on Power System Technology, 1-8, 2010 | 72 | 2010 |
Modeling office building consumer load with a combined physical and behavioral approach: Simulation and validation C Sandels, D Brodén, J Widén, L Nordström, E Andersson Applied energy 162, 472-485, 2016 | 53 | 2016 |
A seasonal ARIMA model with exogenous variables for elspot electricity prices in Sweden M Xie, C Sandels, K Zhu, L Nordström 2013 10th International conference on the European energy market (EEM), 1-4, 2013 | 47 | 2013 |
Predicting the presence of hazardous materials in buildings using machine learning PY Wu, C Sandels, K Mjörnell, M Mangold, T Johansson Building and Environment 213, 108894, 2022 | 40 | 2022 |
Using machine learning to enrich building databases—methods for tailored energy retrofits J Von Platten, C Sandels, K Jörgensson, V Karlsson, M Mangold, ... Energies 13 (10), 2574, 2020 | 21 | 2020 |
Vehicle to grid—reference architectures for the control markets in sweden and germany C Sandels, U Franke, N Ingvar, L Nordström, R Hamrén 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2010 | 18 | 2010 |
A data-driven approach to assess the risk of encountering hazardous materials in the building stock based on environmental inventories PY Wu, K Mjörnell, M Mangold, C Sandels, T Johansson Sustainability 13 (14), 7836, 2021 | 16 | 2021 |
Simulating occupancy in office buildings with non-homogeneous Markov chains for demand response analysis C Sandels, J Widén, L Nordström 2015 IEEE Power & Energy Society General Meeting, 1-5, 2015 | 16 | 2015 |
A local market model for urban residential microgrids with distributed energy resources A Jalia, N Honeth, C Sandels, L Nordstrom 2012 45th Hawaii International Conference on System Sciences, 1949-1958, 2012 | 16 | 2012 |
Domestic heat load aggregation strategies for wind following in electric distribution systems F Baccino, S Massucco, C Sandels, L Nordström 2013 IEEE Power & Energy Society General Meeting, 1-5, 2013 | 13 | 2013 |
Empirical analysis for Distributed Energy Resources' impact on future distribution network X Han, C Sandels, K Zhu, L Nordström, P Söderström 2012 IEEE International Energy Conference and Exhibition (ENERGYCON), 731-737, 2012 | 11 | 2012 |
Trustworthy injection/curtailment of DER in distribution network maintaining quality of service S Hussain, N Honeth, R Gustavsson, C Sandels, A Saleem 2011 16th International Conference on Intelligent System Applications to …, 2011 | 11 | 2011 |
Machine learning in hazardous building material management: research status and applications PY Wu, K Mjörnell, C Sandels, M Mangold Recent Progress in Materials 3 (2), 2021 | 10 | 2021 |
Clustering Residential Customers with Smart Meter data using a Data Analytic Approach–External Validation and Robustness Analysis C Sandels, M Kempe, M Brolin, A Mannikoff 2019 9th International Conference on Power and Energy Systems (ICPES), 1-6, 2019 | 10 | 2019 |
Aggregator strategy for planning demand response resources under uncertainty based on load flexibility modeling K Paridari, L Nordstrom, C Sandels 2017 IEEE International Conference on Smart Grid Communications …, 2017 | 8 | 2017 |
Modeling and simulation of electricity consumption profiles in the northern European building stock C Sandels KTH Royal Institute of Technology, 2016 | 7 | 2016 |
Controlling a retailer's short‐term financial risk exposure using demand response M Brolin, C Sandels IET Generation, Transmission & Distribution 13 (22), 5160-5170, 2019 | 6 | 2019 |
Modelling framework and the quantitative analysis of distributed energy resources in future distribution networks X Han, C Sandels, K Zhu, L Nordström International Journal of Emerging Electric Power Systems 14 (5), 421-431, 2013 | 6 | 2013 |