| 1 |
Probabilistic forecasting of high-resolution clear-sky index time-series using a Markov-chain mixture distribution model (vol 184, pg 688, 2019)
Munkhammar J, van der Meer D, Widen J
Solar Energy, 196, 310, 2020 |
| 2 |
Probabilistic solar forecasting benchmarks on a standardized dataset at Folsom, California
Yang DZ, van der Meer D, Munkhammar J
Solar Energy, 206, 628, 2020 |
| 3 |
Scenario-based modelling of the potential for solar energy charging of electric vehicles in two Scandinavian cities
Good C, Shepero M, Munkhammar J, Bostrom T
Energy, 168, 111, 2019 |
| 4 |
A spatiotemporal Markov-chain mixture distribution model of the clear-sky index
Munkhammar J, Widen J
Solar Energy, 179, 398, 2019 |
| 5 |
Probabilistic forecasting of high-resolution clear-sky index time-series using a Markov-chain mixture distribution model
Munkhammar J, van der Meer D, Widen J
Solar Energy, 184, 688, 2019 |
| 6 |
Probabilistic forecasting of electricity consumption, photovoltaic power generation and net demand of an individual building using Gaussian Processes
van der Meer DW, Shepero M, Svensson A, Widen J, Munkhammar J
Applied Energy, 213, 195, 2018 |
| 7 |
Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data
Shepero M, van der Meer D, Munkhammar J, Widen J
Applied Energy, 218, 159, 2018 |
| 8 |
Spatial Markov chain model for electric vehicle charging in cities using geographical information system (GIS) data
Shepero M, Munkhammar J
Applied Energy, 231, 1089, 2018 |
| 9 |
Probabilistic forecasting of solar power, electricity consumption and net load: Investigating the effect of seasons, aggregation and penetration on prediction intervals
van der Meer DW, Munkhammar J, Widen J
Solar Energy, 171, 397, 2018 |
| 10 |
A Markov-chain probability distribution mixture approach to the clear-sky index
Munkhammar J, Widen J
Solar Energy, 170, 174, 2018 |
