Harri Niska

发表

Computer-assisted image analysis of histopathological breast cancer images using step-DTOCS

Keijo Haataja, Pekka Toivanen, Jorma Isola, 2014, 2014 14th International Conference on Hybrid Intelligent Systems.

Hybrid model for short-term forecasting of loads and load control responses

Pekka Koponen, Harri Niska, Harri Niska, 2016, 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

A regional model for sustainable biogas electricity production: A case study from a Finnish province

Mikko Kolehmainen, Harri Niska, Tuomas Huopana, 2013 .

Evolutionary Design and Evaluation of Modeling System for Forecasting Urban Airborne Maximum Pollutant Concentrations

Harri Niska, M. Kolehmainen, T. Hiltunen, 2005 .

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

Gavin C. Cawley, Mikko Kolehmainen, Ari Karppinen, 2003 .

Methods for imputation of missing values in air quality data sets

Harri Niska, M. Kolehmainen, J. Ruuskanen, 2004 .

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 pollutant concentrations

Mikko Kolehmainen, Ari Karppinen, Jaakko Kukkonen, 2005 .

Forecasting daily pollen concentrations using data-driven modeling methods in Thessaloniki, Greece

Harri Niska, Kostas Karatzas, Marina Riga, 2010 .

Retrieval of aerosol optical depth from surface solar radiation measurementsusing machine learning algorithms, non-linear regression and a radiativetransfer-based look-up table

K. Lehtinen, A. Bais, Harri Niska, 2016 .

SCENARIO BASED ELECTRICITY LOAD PREDICTION TOOL FOR DISTRIBUTION PLANNING AND MANAGEMENT

Harri Niska, J. Saarenpää, Teemu, 2011 .

Combining the strengths of different load modeling methods in short–term load forecasting of a distribution grid area with active demand

Pekka Koponen, Harri Niska, Antti Mutanen, 2019 .

Aggregated forecasting of the load control responses using a hybrid model that combines a physically based model with machine learning

Pekka Koponen, Mikko Kolehmainen, Harri Niska, 2020, CIRED - Open Access Proceedings Journal.

Optimized curve design for image analysis using localized geodesic distance transformations

Keijo Haataja, Pekka Toivanen, Teemu Tolonen, 2015, Electronic Imaging.

Assessing and Comparing Short Term Load Forecasting Performance

Juha Koskela, Pekka Koponen, Harri Niska, 2020 .

Computer-aided breast cancer histopathological diagnosis: Comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS

Keijo Haataja, Pekka Toivanen, Teemu Tolonen, 2014, 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA).

Evolving the neural network model for forecasting air pollution time series

Mikko Kolehmainen, Ari Karppinen, Harri Niska, 2004, Eng. Appl. Artif. Intell..

Improved route planning and scheduling of waste collection and transport

Harri Niska, Olli Bräysy, Teemu Nuortio, 2006, Expert Syst. Appl..

Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data

Mikko Kolehmainen, Harri Niska, Kostas Karatzas, 2010 .

GUIDELINE ON ACTION PLANS AND STRATEGIES TO MOBILIZE WASTE-TO-ENERGY PRODUCTION : REMOWE report, Report no: 4.3.1, December 2012

Eva Thorin, Bozena Guziana, Harri Niska, 2012 .

Self-organizing maps and Sammon's mapping in environmental informatics and bioinformatics

Mikko Kolehmainen, Harri Niska, Teri Hiltunen, 2004, EnviroInfo.

Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs

Mikko Kolehmainen, Petteri Packalen, Matti Maltamo, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Hybrid Models for Forecasting Air Pollution Episodes

Mikko Kolehmainen, Harri Niska, Teri Hiltunen, 2003, ICANNGA.

Mitigating the Weaknesses of Machine Learning in Short–Term Forecasting of Aggregated Power System Active Loads

Pekka Koponen, Harri Niska, Antti Mutanen, 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

Evolving smart meter data driven model for short-term forecasting of electric loads

Pekka Koponen, Antti Mutanen, Harri Niska, 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Data analytics approach to create waste generation profiles for waste management and collection.

Ari Serkkola, Harri Niska, Harri Niska, 2018, Waste management.

Data-driven method for providing feedback to households on electricity consumption

Markus Johansson, Harri Niska, Jukka Saarenpaa, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations

Harri Niska, M. Kolehmainen, A. Lindfors, 2023, Renewable Energy.

Geodemographic analysis and estimation of early plug-in hybrid electric vehicle adoption

Mikko Kolehmainen, Harri Niska, Jukka Saarenpaa, 2013 .

Consumer acceptability and adoption of Smart Grid

Harri Niska, J. Saarenpää, Lassi Similä, 2011 .

A data mining approach for producing small area statistics-based load profiles for distribution network planning

Mikko Kolehmainen, Harri Niska, Jukka Saarenpaa, 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

Extracting controllable heating loads from aggregated smart meter data using clustering and predictive modelling

Harri Niska, Harri Niska, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Identifying socio-demographically favourable area types for early hybrid electric vehicle adoption through mining of public sector data

Mikko Kolehmainen, Harri Niska, Jukka Saarenpaa, 2016, Intell. Data Anal..