| Methods for imputation of missing values in air quality data sets H Junninen, H Niska, K Tuppurainen, J Ruuskanen, M Kolehmainen Atmospheric Environment 38 (18), 2895-2907, 2004 | 653 | 2004 |
| Improved route planning and scheduling of waste collection and transport T Nuortio, J Kytöjoki, H Niska, O Bräysy Expert systems with applications 30 (2), 223-232, 2006 | 420 | 2006 |
| Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki J Kukkonen, L Partanen, A Karppinen, J Ruuskanen, H Junninen, ... Atmospheric Environment 37 (32), 4539-4550, 2003 | 386 | 2003 |
| Evolving the neural network model for forecasting air pollution time series H Niska, T Hiltunen, A Karppinen, J Ruuskanen, M Kolehmainen Engineering Applications of Artificial Intelligence 17 (2), 159-167, 2004 | 296 | 2004 |
| Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data T Räsänen, D Voukantsis, H Niska, K Karatzas, M Kolehmainen Applied Energy 87 (11), 3538-3545, 2010 | 249 | 2010 |
| Geodemographic analysis and estimation of early plug-in hybrid electric vehicle adoption J Saarenpää, M Kolehmainen, H Niska Applied Energy 107, 456-464, 2013 | 81 | 2013 |
| Forecasting daily pollen concentrations using data-driven modeling methods in Thessaloniki, Greece D Voukantsis, H Niska, K Karatzas, M Riga, A Damialis, D Vokou Atmospheric Environment 44 (39), 5101-5111, 2010 | 63 | 2010 |
| Neural networks for the prediction of species-specific plot volumes using airborne laser scanning and aerial photographs H Niska, JP Skon, P Packalen, T Tokola, M Maltamo, M Kolehmainen IEEE Transactions on Geoscience and Remote Sensing 48 (3), 1076-1085, 2009 | 62 | 2009 |
| Evaluation of an integrated modelling system containing a multi-layer perceptron model and the numerical weather prediction model HIRLAM for the forecasting of urban airborne … H Niska, M Rantamäki, T Hiltunen, A Karppinen, J Kukkonen, ... Atmospheric Environment 39 (35), 6524-6536, 2005 | 60 | 2005 |
| A regional model for sustainable biogas electricity production: A case study from a Finnish province T Huopana, H Song, M Kolehmainen, H Niska Applied Energy 102, 676-686, 2013 | 44 | 2013 |
| Data analytics approach to create waste generation profiles for waste management and collection H Niska, A Serkkola Waste Management 77, 477-485, 2018 | 41 | 2018 |
| Computer-aided breast cancer histopathological diagnosis: Comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS I Pöllänen, B Braithwaite, T Ikonen, H Niska, K Haataja, P Toivanen, ... 2014 4th International Conference on Image Processing Theory, Tools and …, 2014 | 23 | 2014 |
| Retrieval of aerosol optical depth from surface solar radiation measurements using machine learning algorithms, non-linear regression and a radiative transfer-based look-up table J Huttunen, H Kokkola, T Mielonen, MEJ Mononen, A Lipponen, ... Atmospheric Chemistry and Physics 16 (13), 8181-8191, 2016 | 22 | 2016 |
| Assessing and comparing short term load forecasting performance P Koponen, J Ikäheimo, J Koskela, C Brester, H Niska Energies 13 (8), 2054, 2020 | 17 | 2020 |
| Effects of electric vehicles and heat pumps on long-term electricity consumption scenarios for rural areas in the nordic environment J Haakana, J Haapaniemi, J Lassila, J Partanen, H Niska, A Rautiainen 2018 15th international conference on the European energy market (EEM), 1-5, 2018 | 16 | 2018 |
| Evolving smart meter data driven model for short-term forecasting of electric loads H Niska, P Koponen, A Mutanen 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor …, 2015 | 16 | 2015 |
| Extracting controllable heating loads from aggregated smart meter data using clustering and predictive modelling H Niska 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor …, 2013 | 15 | 2013 |
| Assessment of some methods for short-term load forecasting P Koponen, A Mutanen, H Niska IEEE PES Innovative Smart Grid Technologies, Europe, 1-6, 2014 | 14 | 2014 |
| Genetic algorithms and sensitivity analysis applied to select inputs of a multi-layer perceptron for the prediction of air pollutant time-series H Niska, M Heikkinen, M Kolehmainen Intelligent Data Engineering and Automated Learning–IDEAL 2006: 7th …, 2006 | 12 | 2006 |
| Weather-driven predictive control of a battery storage for improved microgrid resilience D Gutierrez-Rojas, A Mashlakov, C Brester, H Niska, M Kolehmainen, ... IEEE Access 9, 163108-163121, 2021 | 9 | 2021 |
Mikko KolehmainenProfessor of environmental informatics and modelling, University of Eastern FinlandZweryfikowany adres z uef.fi
