| 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 | 144 | 2018 |
| 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 | 109 | 2013 |
| 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 | 99 | 2016 |
| 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 | 76 | 2013 |
| 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 | 69 | 2015 |
| Riemann-Liouville fractional derivatives and the Taylor-Riemann series J Munkhammar | 66 | 2004 |
| 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 | 52 | 2018 |
| 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 | 51 | 2014 |
| Fractional calculus and the Taylor-Riemann series J Munkhammar Rose-Hulman Undergraduate Mathematics Journal 6 (1), 6, 2005 | 51 | 2005 |
| 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 | 45 | 2018 |
| Household electricity use, electric vehicle home-charging and distributed photovoltaic power production in the city of Westminster J Munkhammar, JDK Bishop, JJ Sarralde, W Tian, R Choudhary Energy and Buildings 86, 439-448, 2015 | 42 | 2015 |
| A copula method for simulating correlated instantaneous solar irradiance in spatial networks J Munkhammar, J Widén, LM Hinkelman Solar Energy 143, 10-21, 2017 | 40 | 2017 |
| Evaluating the benefits of a solar home energy management system: impacts on photovoltaic power production value and grid interaction J Widén, J Munkhammar eceee 2013 Summer Study, Presqu'île de Giens, France, June 3-8, 2013, 2013 | 40 | 2013 |
| On the dust abundance gradients in late-type galaxies–I. Effects of destruction and growth of dust in the interstellar medium L Mattsson, AC Andersen, JD Munkhammar Monthly Notices of the Royal Astronomical Society 423 (1), 26-37, 2012 | 35 | 2012 |
| 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 | 31 | 2018 |
| 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 | 30 | 2018 |
| On the properties of aggregate clear-sky index distributions and an improved model for spatially correlated instantaneous solar irradiance J Widén, M Shepero, J Munkhammar Solar Energy 157, 566-580, 2017 | 28 | 2017 |
| Chaos in a fractional order logistic map J Munkhammar Fractional Calculus and Applied Analysis 16 (3), 511-519, 2013 | 24 | 2013 |
| Correlation modeling of instantaneous solar irradiance with applications to solar engineering J Munkhammar, J Widén Solar Energy 133, 14-23, 2016 | 22 | 2016 |
| An N-state Markov-chain mixture distribution model of the clear-sky index J Munkhammar, J Widén Solar Energy 173, 487-495, 2018 | 21 | 2018 |
Joakim WidénUppsala UniversityVerified email at angstrom.uu.se
