| Analysing transport costs of Danish forest wood chip resources by means of continuous cost surfaces B Möller, PS Nielsen Biomass and bioenergy 31 (5), 291-298, 2007 | 156 | 2007 |
| Clustering-based analysis for residential district heating data P Gianniou, X Liu, A Heller, PS Nielsen, C Rode Energy conversion and management 165, 840-850, 2018 | 154 | 2018 |
| Electricity consumption clustering using smart meter data A Tureczek, PS Nielsen, H Madsen Energies 11 (4), 859, 2018 | 92 | 2018 |
| A hybrid ICT-solution for smart meter data analytics X Liu, PS Nielsen Energy 115, 1710-1722, 2016 | 81 | 2016 |
| Total costs and benefits of biomass in selected regions of the European Union HM Groscurth, A De Almeida, A Bauen, FB Costa, SO Ericson, J Giegrich, ... Energy 25 (11), 1081-1095, 2000 | 76 | 2000 |
| CITIESData: a smart city data management framework X Liu, A Heller, PS Nielsen Knowledge and Information Systems 53, 699-722, 2017 | 74 | 2017 |
| Environmental assessment of Smart City Solutions using a coupled urban metabolism—life cycle impact assessment approach KL Ipsen, RK Zimmermann, PS Nielsen, M Birkved The International Journal of Life Cycle Assessment 24, 1239-1253, 2019 | 69 | 2019 |
| Structured literature review of electricity consumption classification using smart meter data AM Tureczek, PS Nielsen Energies 10 (5), 584, 2017 | 64 | 2017 |
| Regression-based online anomaly detection for smart grid data X Liu, PS Nielsen arXiv preprint arXiv:1606.05781, 2016 | 62 | 2016 |
| Online anomaly energy consumption detection using lambda architecture X Liu, N Iftikhar, PS Nielsen, A Heller Big Data Analytics and Knowledge Discovery: 18th International Conference …, 2016 | 56 | 2016 |
| Scalable prediction-based online anomaly detection for smart meter data X Liu, PS Nielsen Information Systems 77, 34-47, 2018 | 52 | 2018 |
| Modelling smart energy systems in tropical regions DF Dominković, V Dobravec, Y Jiang, PS Nielsen, G Krajačić Energy 155, 592-609, 2018 | 52 | 2018 |
| Clustering district heat exchange stations using smart meter consumption data AM Tureczek, PS Nielsen, H Madsen, A Brun Energy and buildings 182, 144-158, 2019 | 49 | 2019 |
| Understanding energy demand behaviors through spatio-temporal smart meter data analysis Z Niu, J Wu, X Liu, L Huang, PS Nielsen Energy 226, 120493, 2021 | 45 | 2021 |
| Utilisation of rice residues for decentralised electricity generation in Ghana: An economic analysis PV Ramamurthi, MC Fernandes, PS Nielsen, CP Nunes Energy 111, 620-629, 2016 | 39 | 2016 |
| Modelling the future low-carbon energy systems-case study of greater Copenhagen, Denmark SB Amer, R Bramstoft, O Balyk, PS Nielsen International Journal of Sustainable Energy Planning and Management 24, 2019 | 36 | 2019 |
| Streamlining smart meter data analytics X Liu, PS Nielsen 10th Conference on Sustainable Development of Energy, Water and Environment …, 2015 | 36 | 2015 |
| Logistics cost analysis of rice residues for second generation bioenergy production in Ghana PV Ramamurthi, MC Fernandes, PS Nielsen, CP Nunes Bioresource technology 173, 429-438, 2014 | 35 | 2014 |
| Testing platforms as drivers for positive-energy living laboratories S Soutullo, L Aelenei, PS Nielsen, JA Ferrer, H Gonçalves Energies 13 (21), 5621, 2020 | 20 | 2020 |
| Life cycle assessment of wood pellets and bioethanol from wood residues and willow. J Sandilands, D Kellenberger, I Nicholas, P Nielsen | 18 | 2009 |
