| 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 | 496 | 2018 |
| 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 | 254 | 2020 |
| Self-consumption enhancement and peak shaving of residential photovoltaics using storage and curtailment R Luthander, J Widén, J Munkhammar, D Lingfors Energy 112, 221-231, 2016 | 250 | 2016 |
| 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 | 166 | 2018 |
| Quantifying self-consumption of on-site photovoltaic power generation in households with electric vehicle home charging J Munkhammar, P Grahn, J Widén Solar energy 97, 208-216, 2013 | 147 | 2013 |
| PHEV home-charging model based on residential activity patterns P Grahn, J Munkhammar, J Widén, K Alvehag, L Söder IEEE Transactions on power Systems 28 (3), 2507-2515, 2013 | 146 | 2013 |
| Combined PV–EV hosting capacity assessment for a residential LV distribution grid with smart EV charging and PV curtailment R Fachrizal, UH Ramadhani, J Munkhammar, J Widén Sustainable Energy, Grids and Networks 26, 100445, 2021 | 145 | 2021 |
| Improved photovoltaic self-consumption in residential buildings with distributed and centralized smart charging of electric vehicles R Fachrizal, J Munkhammar Energies 13 (5), 1153, 2020 | 143 | 2020 |
| 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 | 142 | 2018 |
| Spatial Markov chain model for electric vehicle charging in cities using geographical information system (GIS) data M Shepero, J Munkhammar Applied energy 231, 1089-1099, 2018 | 134 | 2018 |
| Review of probabilistic load flow approaches for power distribution systems with photovoltaic generation and electric vehicle charging UH Ramadhani, M Shepero, J Munkhammar, J Widén, N Etherden International Journal of Electrical Power & Energy Systems 120, 106003, 2020 | 128 | 2020 |
| Optimal PV-EV sizing at solar powered workplace charging stations with smart charging schemes considering self-consumption and self-sufficiency balance R Fachrizal, M Shepero, M Åberg, J Munkhammar Applied Energy 307, 118139, 2022 | 118 | 2022 |
| Modeling of photovoltaic power generation and electric vehicles charging on city-scale: A review M Shepero, J Munkhammar, J Widén, JDK Bishop, T Boström Renewable and Sustainable Energy Reviews 89, 61-71, 2018 | 112 | 2018 |
| Solar radiation theory J Widén, J Munkhammar Uppsala University, 2019 | 104 | 2019 |
| On a probability distribution model combining household power consumption, electric vehicle home-charging and photovoltaic power production J Munkhammar, J Widén, J Rydén Applied Energy 142, 135-143, 2015 | 101 | 2015 |
| Riemann-Liouville fractional derivatives and the Taylor-Riemann series J Munkhammar | 100 | 2004 |
| 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 | 92 | 2018 |
| Evaluation of simplified building energy models for urban-scale energy analysis of buildings F Johari, J Munkhammar, F Shadram, J Widén Building and Environment 211, 108684, 2022 | 85 | 2022 |
| 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 | 81 | 2021 |
| Characterizing probability density distributions for household electricity load profiles from high-resolution electricity use data J Munkhammar, J Rydén, J Widén Applied Energy 135, 382-390, 2014 | 80 | 2014 |
Joakim WidénUppsala UniversityVahvistettu sähköpostiosoite verkkotunnuksessa angstrom.uu.se
