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Dennis van der Meer
Dennis van der Meer
Postdoctoral researcher, MINES ParisTech
Verified email at mines-paristech.fr
Title
Cited by
Cited by
Year
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
4142018
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
2472016
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
1912020
Verification of deterministic solar forecasts
D Yang, S Alessandrini, J Antonanzas, F Antonanzas-Torres, V Badescu, ...
Solar Energy 210, 20-37, 2020
1812020
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
1382018
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
1252018
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
1022022
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
782018
Post-processing in solar forecasting: Ten overarching thinking tools
D Yang, D van der Meer
Renewable and Sustainable Energy Reviews 140, 110735, 2021
682021
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
612021
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
452019
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
422020
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
382021
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
362022
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
192020
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
172023
A benchmark for multivariate probabilistic solar irradiance forecasts
D van Der Meer
Solar Energy 225, 286-296, 2021
142021
Infinite hidden Markov model for short-term solar irradiance forecasting
 Frimane, J Munkhammar, D van der Meer
Solar Energy 244, 331-342, 2022
102022
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
72022
Comment on “Verification of deterministic solar forecasts”: Verification of probabilistic solar forecasts
D van der Meer
Solar Energy 210, 41-43, 2020
72020
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