| Review on probabilistic forecasting of photovoltaic power production and electricity consumption DW Van der Meer, J Widén, J Munkhammar Renewable and Sustainable Energy Reviews 81, 1484-1512, 2018 | 497 | 2018 |
| Energy management system with PV power forecast to optimally charge EVs at the workplace D Van der Meer, GRC Mouli, GME Mouli, LR Elizondo, P Bauer IEEE transactions on industrial informatics 14 (1), 311-320, 2016 | 279 | 2016 |
| Smart charging of electric vehicles considering photovoltaic power production and electricity consumption: A review R Fachrizal, M Shepero, D van der Meer, J Munkhammar, J Widén ETransportation 4, 100056, 2020 | 258 | 2020 |
| Verification of deterministic solar forecasts D Yang, S Alessandrini, J Antonanzas, F Antonanzas-Torres, V Badescu, ... Solar Energy 210, 20-37, 2020 | 229 | 2020 |
| A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality D Yang, W Wang, CA Gueymard, T Hong, J Kleissl, J Huang, MJ Perez, ... Renewable and Sustainable Energy Reviews 161, 112348, 2022 | 198 | 2022 |
| Probabilistic forecasting of electricity consumption, photovoltaic power generation and net demand of an individual building using Gaussian Processes DW Van der Meer, M Shepero, A Svensson, J Widén, J Munkhammar Applied energy 213, 195-207, 2018 | 169 | 2018 |
| Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data M Shepero, D Van Der Meer, J Munkhammar, J Widén Applied Energy 218, 159-172, 2018 | 143 | 2018 |
| Post-processing in solar forecasting: Ten overarching thinking tools D Yang, D van der Meer Renewable and Sustainable Energy Reviews 140, 110735, 2021 | 102 | 2021 |
| Probabilistic forecasting of solar power, electricity consumption and net load: Investigating the effect of seasons, aggregation and penetration on prediction intervals DW Van der Meer, J Munkhammar, J Widén Solar Energy 171, 397-413, 2018 | 93 | 2018 |
| Very short term load forecasting of residential electricity consumption using the Markov-chain mixture distribution (MCM) model J Munkhammar, D van der Meer, J Widén Applied Energy 282, 116180, 2021 | 82 | 2021 |
| Progress in regional PV power forecasting: A sensitivity analysis on the Italian case study M Pierro, D Gentili, FR Liolli, C Cornaro, D Moser, A Betti, M Moschella, ... Renewable Energy 189, 983-996, 2022 | 57 | 2022 |
| Probabilistic forecasting of high-resolution clear-sky index time-series using a Markov-chain mixture distribution model J Munkhammar, D van der Meer, J Widén Solar Energy 184, 688-695, 2019 | 54 | 2019 |
| An alternative optimal strategy for stochastic model predictive control of a residential battery energy management system with solar photovoltaic D Van der Meer, GC Wang, J Munkhammar Applied Energy 283, 116289, 2021 | 52 | 2021 |
| Probabilistic solar forecasting benchmarks on a standardized dataset at Folsom, California D Yang, D van der Meer, J Munkhammar Solar Energy 206, 628-639, 2020 | 52 | 2020 |
| Day-ahead probabilistic forecasting at a co-located wind and solar power park in Sweden: Trading and forecast verification O Lindberg, D Lingfors, J Arnqvist, D van Der Meer, J Munkhammar Advances in Applied Energy 9, 100120, 2023 | 36 | 2023 |
| A benchmark for multivariate probabilistic solar irradiance forecasts D van Der Meer Solar Energy 225, 286-296, 2021 | 22 | 2021 |
| Clear-sky index space-time trajectories from probabilistic solar forecasts: Comparing promising copulas D van der Meer, D Yang, J Widén, J Munkhammar Journal of Renewable and Sustainable Energy 12 (2), 2020 | 22 | 2020 |
| Infinite hidden Markov model for short-term solar irradiance forecasting  Frimane, J Munkhammar, D van der Meer Solar Energy 244, 331-342, 2022 | 17 | 2022 |
| End-to-end learning for hierarchical forecasting of renewable energy production with missing values A Stratigakos, D van Der Meer, S Camal, G Kariniotakis 2022 17th International Conference on Probabilistic Methods Applied to Power …, 2022 | 11 | 2022 |
| Comment on “Verification of deterministic solar forecasts”: Verification of probabilistic solar forecasts D van der Meer Solar Energy 210, 41-43, 2020 | 9 | 2020 |
Joakim MunkhammarAssociate Professor at Civil and Industrial Engineering, Uppsala UniversityZweryfikowany adres z angstrom.uu.se