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Weather-Based Prediction of Power Consumption in District Heating Network: Case Study in Finland

Energies (Basel), 2024-06, Vol.17 (12), p.2840

2024

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Methods for imputation of missing values in air quality data sets

Atmospheric environment (1994), 2004-06, Vol.38 (18), p.2895-2907

2004

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Assessing and Comparing Short Term Load Forecasting Performance

Energies (Basel), 2020-04, Vol.13 (8), p.2054

2020

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

Waste management (Elmsford), 2018-07, Vol.77, p.477-485

2018

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

Atmospheric environment (1994), 2010-12, Vol.44 (39), p.5101-5111

2010

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Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience

IEEE access, 2021, Vol.9, p.163108-163121

2021

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

Renewable energy, 2023-05, Vol.207, p.266-274

2023

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

Applied energy, 2013-07, Vol.107, p.456-464

2013

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

Applied energy, 2010-11, Vol.87 (11), p.3538-3545

2010

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

Applied energy, 2013-02, Vol.102, p.676-686

2013

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Improved route planning and scheduling of waste collection and transport

Expert systems with applications, 2006-02, Vol.30 (2), p.223-232

2006

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

2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019, Vol.1, p.303-310

2019

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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

Atmospheric chemistry and physics, 2016-07, Vol.16 (13), p.8181-8191

2016

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Evolving the neural network model for forecasting air pollution time series

Engineering applications of artificial intelligence, 2004-03, Vol.17 (2), p.159-167

2004

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

Intelligent data analysis, 2016-03, Vol.20 (2), p.339-355

2016

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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

Atmospheric environment (1994), 2003-10, Vol.37 (32), p.4539-4550

2003

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

CIRED - Open Access Proceedings Journal, 2020, Vol.2020 (1), p.588-591

2020

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

IEEE transactions on geoscience and remote sensing, 2010-03, Vol.48 (3), p.1076-1085

2010

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Genetic Algorithms and Sensitivity Analysis Applied to Select Inputs of a Multi-Layer Perceptron for the Prediction of Air Pollutant Time-Series

Intelligent Data Engineering and Automated Learning – IDEAL 2006, 2006, p.224-231

2006

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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

Atmospheric environment (1994), 2005-11, Vol.39 (35), p.6524-6536

2005

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A physical-neural network approach for residential load forecasting with dynamic load control

27th International Conference on Electricity Distribution (CIRED 2023), 2023, Vol.2023 (6), p.811-815

2023

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

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2016, p.1-6

2016

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Automated load control detection using power quality data and machine learning

27th International Conference on Electricity Distribution (CIRED 2023), 2023, Vol.2023 (6), p.2953-2957

2023

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Weather-based Fault Prediction in Electricity Networks with Artificial Neural Networks

2020 IEEE Congress on Evolutionary Computation (CEC), 2020, p.1-8

2020

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

2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2013, p.368-373

Niska, H.

2013

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Weather-Based Prediction of Power Consumption in District Heating Network: Case Study in Finland

Methods for imputation of missing values in air quality data sets

Assessing and Comparing Short Term Load Forecasting Performance

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

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

Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience

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

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

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

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

Improved route planning and scheduling of waste collection and transport

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

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

Evolving the neural network model for forecasting air pollution time series

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

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

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

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

Genetic Algorithms and Sensitivity Analysis Applied to Select Inputs of a Multi-Layer Perceptron for the Prediction of Air Pollutant Time-Series

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

A physical-neural network approach for residential load forecasting with dynamic load control

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

Automated load control detection using power quality data and machine learning

Weather-based Fault Prediction in Electricity Networks with Artificial Neural Networks

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

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