Matti Koivisto
Matti Koivisto
DTU Wind Energy
Bekræftet mail på dtu.dk
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Clustering of connection points and load modeling in distribution systems
M Koivisto, P Heine, I Mellin, M Lehtonen
IEEE Transactions on Power Systems 28 (2), 1255-1265, 2012
712012
Using time series simulation tools for assessing the effects of variable renewable energy generation on power and energy systems
M Koivisto, K Das, F Guo, P Sørensen, E Nuño, N Cutululis, P Maule
Wiley Interdisciplinary Reviews: Energy and Environment 8 (3), e329, 2019
632019
Unlocking distribution network capacity through real-time thermal rating for high penetration of DGs
MZ Degefa, M Humayun, A Safdarian, M Koivisto, RJ Millar, M Lehtonen
Electric Power Systems Research 117, 36-46, 2014
472014
A statistical model for hourly large-scale wind and photovoltaic generation in new locations
J Ekström, M Koivisto, I Mellin, RJ Millar, M Lehtonen
IEEE Transactions on Sustainable Energy 8 (4), 1383-1393, 2017
392017
Modal analysis of power systems through natural excitation technique
JM Seppänen, J Turunen, M Koivisto, N Kishor, LC Haarla
IEEE Transactions on Power Systems 29 (4), 1642-1652, 2014
332014
A statistical approach for hourly photovoltaic power generation modeling with generation locations without measured data
J Ekström, M Koivisto, J Millar, I Mellin, M Lehtonen
Solar Energy 132, 173-187, 2016
322016
Assessment of large scale wind power generation with new generation locations without measurement data
J Ekström, M Koivisto, I Mellin, J Millar, E Saarijärvi, L Haarla
Renewable Energy 83, 362-374, 2015
312015
Wind speed modeling using a vector autoregressive process with a time-dependent intercept term
M Koivisto, J Seppänen, I Mellin, J Ekström, J Millar, I Mammarella, ...
International Journal of Electrical Power & Energy Systems 77, 91-99, 2016
272016
Optimal generation and transmission development of the North Sea region: Impact of grid architecture and planning horizon
J Gea-Bermúdez, LL Pade, MJ Koivisto, H Ravn
Energy 191, 116512, 2020
262020
A statistical model for comparing future wind power scenarios with varying geographical distribution of installed generation capacity
M Koivisto, J Ekström, J Seppänen, I Mellin, J Millar, L Haarla
Wind Energy 19 (4), 665-679, 2016
252016
North Sea offshore grid development: combined optimisation of grid and generation investments towards 2050
M Koivisto, J Gea‐Bermúdez, P Sørensen
IET Renewable Power Generation 14 (8), 1259-1267, 2020
172020
Photovoltaic power generation hourly modelling
HP Hellman, M Koivisto, M Lehtonen
Proceedings of the 2014 15th international scientific conference on Electric …, 2014
172014
Load flow analysis framework for active distribution networks based on smart meter reading system
MZ Degefa, RJ Millar, M Koivisto, M Humayun, M Lehtonen
Scientific Research Publishing, 2013
172013
On the simulation of aggregated solar PV forecast errors
E Nuño, M Koivisto, NA Cutululis, P Sørensen
IEEE Transactions on Sustainable Energy 9 (4), 1889-1898, 2018
162018
The role of sector coupling in the green transition: A least-cost energy system development in Northern-central Europe towards 2050
J Gea-Bermúdez, IG Jensen, M Münster, M Koivisto, JG Kirkerud, Y Chen, ...
Applied Energy 289, 116685, 2021
14*2021
Multi-timescale data-driven method identifying flexibility requirements for scenarios with high penetration of renewables
KP Olsen, Y Zong, S You, H Bindner, M Koivisto, J Gea-Bermúdez
Applied Energy 264, 114702, 2020
122020
Enhanced Features of Wind-Based Hybrid Power Plants
K Das, AD Hansen, M Koivisto, PE Sørensen
Proceedings of the 4th International Hybrid Power Systems Workshop, Crete …, 2019
122019
NSON-DK energy system scenarios–Edition 2
MJ Koivisto, J Gea-Bermudez
DTU Wind Energy, 2018
122018
Statistical modeling of aggregated electricity consumption and distributed wind generation in distribution systems using AMR data
M Koivisto, M Degefa, M Ali, J Ekström, J Millar, M Lehtonen
Electric Power Systems Research 129, 217-226, 2015
122015
Dynamic thermal state forecasting of distribution network components: For enhanced active distribution network capacity
MZ Degefa, M Koivisto, RJ Millar, M Lehtonen
2014 International Conference on Probabilistic Methods Applied to Power …, 2014
122014
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Artikler 1–20