AI-based data mining approach to control the environmental impact of conventional energy technologies

Author:

Szramowiat-Sala KatarzynaORCID,Penkala Roch,Horák JiříORCID,Krpec Kamil,Hopan FrantišekORCID,Ryšavý JiříORCID,Borovec Karel,Górecki JerzyORCID

Funder

European Social Fund Plus

VŠB–Technical University of Ostrava

European Regional Development Fund

AGH University of Krakow

Publisher

Elsevier BV

Reference22 articles.

1. Simulation of the biochemical and chemical oxygen demand and total suspended solids in wastewater treatment plants: data-mining approach;Asami;J. Clean. Prod.,2021

2. Heating boilers - Part 5: heating boilers for solid fuels, manually and automatically stoked, nominal heat output of up to 500 kW - terminology, requirements, testing and markingitle;Europe’s air quality status 2023,2021

3. Real measurement of carbon monoxide, total suspended particulate, and thermal efficiency in modern biomass household boilers;Horák;Biomass Convers Biorefin,2022

4. Ensemble of various neural networks for prediction of heating energy consumption;Jovanović;Energy Build.,2015

5. Real-life emissions from residential wood combustion in Austria: from TSP emissions to PAH emission profiles, diagnostic ratios and toxic risk assessment;Kirchsteiger;Atmos. Pollut. Res.,2021

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