| 1 |
Forecasting solar irradiance at short horizons: Frequency and time domain models
Reikard G, Hansen C
Renewable Energy, 135, 1270, 2019 |
| 2 |
A spatiotemporal Markov-chain mixture distribution model of the clear-sky index
Munkhammar J, Widen J
Solar Energy, 179, 398, 2019 |
| 3 |
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 |
| 4 |
A Markov-chain probability distribution mixture approach to the clear-sky index
Munkhammar J, Widen J
Solar Energy, 170, 174, 2018 |
| 5 |
Assessing model performance of daily solar irradiance forecasts over Australia
Huang J, Rikus LJ, Qin Y, Katzfey J
Solar Energy, 176, 615, 2018 |
| 6 |
An N-state Markov-chain mixture distribution model of the clear-sky index
Munkhammar J, Widen J
Solar Energy, 173, 487, 2018 |
| 7 |
Clear-sky model for wavelet forecast of direct normal irradiance
Zhu TT, Wei HK, Zhao X, Zhang C, Zhang KJ
Renewable Energy, 104, 1, 2017 |
| 8 |
A copula method for simulating correlated instantaneous solar irradiance in spatial networks
Munkhammar J, Widen J, Hinkelman LM
Solar Energy, 143, 10, 2017 |
| 9 |
Cloud cover effect of clear-sky index distributions and differences between human and automatic cloud observations
Smith CJ, Bright JM, Crook R
Solar Energy, 144, 10, 2017 |
| 10 |
Simulating clear-sky index increment correlations under mixed sky conditions using a fractal cloud model
Lohmann GM, Hammer A, Monahan AH, Schmidt T, Heinemann D
Solar Energy, 150, 255, 2017 |
