@article{MTMT:34395502,
	title = {The effect of building refurbishment and changing occupancy on the district heating consumption of multifamily buildings: Case study of Miskolc, Hungary},
	url = {https://m2.mtmt.hu/api/publication/34395502},
	author = {Vámos, Viktória and Horváth, Miklós},
	doi = {10.1016/j.jobe.2023.108132},
	journal-iso = {J BUILDING ENG},
	journal = {JOURNAL OF BUILDING ENGINEERING},
	volume = {81},
	unique-id = {34395502},
	year = {2024},
	eissn = {2352-7102},
	orcid-numbers = {Horváth, Miklós/0000-0001-9656-0173}
}

@article{MTMT:33625870,
	title = {Evaluation of District Heating Patterns for Hungarian Residential Buildings: Case Study of Budapest},
	url = {https://m2.mtmt.hu/api/publication/33625870},
	author = {Vámos, Viktória and Horváth, Miklós},
	doi = {10.1016/j.enbuild.2023.112833},
	journal-iso = {ENERG BUILDINGS},
	journal = {ENERGY AND BUILDINGS},
	volume = {284},
	unique-id = {33625870},
	issn = {0378-7788},
	year = {2023},
	eissn = {1872-6178},
	orcid-numbers = {Horváth, Miklós/0000-0001-9656-0173}
}

@article{MTMT:32809366,
	title = {Tipizált lakóépület energiaigényének modellezése dinamikus épületszimulációval},
	url = {https://m2.mtmt.hu/api/publication/32809366},
	author = {Szili, Bettina Viktória and Vámos, Viktória and Horváth, Miklós},
	journal-iso = {MAGYAR ÉPÜLETGÉPÉSZET},
	journal = {MAGYAR ÉPÜLETGÉPÉSZET},
	volume = {71},
	unique-id = {32809366},
	issn = {1215-9913},
	year = {2022},
	pages = {3-9},
	orcid-numbers = {Horváth, Miklós/0000-0001-9656-0173}
}

@article{MTMT:32058639,
	title = {Residential domestic hot water consumption analysis for multifamily buildings supplied by district heating},
	url = {https://m2.mtmt.hu/api/publication/32058639},
	author = {Vámos, Viktória and Horváth, Miklós},
	doi = {10.2298/TSCI200505190V},
	journal-iso = {THERM SCI},
	journal = {THERMAL SCIENCE},
	volume = {26},
	unique-id = {32058639},
	issn = {0354-9836},
	abstract = {The exact knowledge of domestic hot water (DHW) and heat consumption is necessary in the process of heat cost allocation and planning. In Hungary, heat cost allocation is based on summer months' heat demand. This method does not lead to an accurate result due to the fact that the DHW demand varies throughout the year. There are several studies dealing with consumption data analysis, but only some of them have exact estimations on DHW usage patterns the Central-Eastern European countries. In this paper the DHW consumption was analyzed in 115 "commi block" buildings, which are common in Central-Eastern Europe and Russia and are usually connected to the district heating network. The examined buildings are located in Budapest, Hungary. The installation of the monitoring system has started in December 2012. The consumption data is collected since March 2014. The DHW usage was calculated in different cases for every month: per heated area, per heated volume, and per flat. Average daily and annual data was also determined, the share of yearly DHW consumption over the months was calculated. The average daily and annual DHW consumption are 126 L per flat and 892 L per m(2), respectively. The average net heat consumption is 28.2 kWh/m(2) annually. Different DHW demand influencing factors were examined: the outdoor temperature and the residents' travelling habit is clearly influencing the DHW usage but no connection was found between the DHW consumption and economic indicators. The DHW consumption is approximately 30% higher in the winter than in the summer.},
	keywords = {SYSTEMS; PROFILES; District heating; Water consumption; Energy performance; DHW},
	year = {2022},
	eissn = {2334-7163},
	pages = {1267-1276},
	orcid-numbers = {Horváth, Miklós/0000-0001-9656-0173}
}

@article{MTMT:32215198,
	title = {Development of electricity consumption profiles of residential buildings based on smart meter data clustering},
	url = {https://m2.mtmt.hu/api/publication/32215198},
	author = {Czétány, László and Vámos, Viktória and Horváth, Miklós and Szalay, Zsuzsa and Mota-Babiloni, Adrián and Deme Bélafi, Zsófia and Csoknyai, Tamás},
	doi = {10.1016/j.enbuild.2021.111376},
	journal-iso = {ENERG BUILDINGS},
	journal = {ENERGY AND BUILDINGS},
	volume = {252},
	unique-id = {32215198},
	issn = {0378-7788},
	year = {2021},
	eissn = {1872-6178},
	orcid-numbers = {Czétány, László/0000-0002-7572-6418; Horváth, Miklós/0000-0001-9656-0173; Szalay, Zsuzsa/0000-0001-6537-7982; Mota-Babiloni, Adrián/0000-0002-2320-3666}
}

@CONFERENCE{MTMT:32549604,
	title = {Occupant Behaviour Profile Development based on Smart Meter Data},
	url = {https://m2.mtmt.hu/api/publication/32549604},
	author = {Horváth, Miklós and Czétány, László and Vámos, Viktória},
	booktitle = {5th International Symposium on Occupant Behaviour},
	unique-id = {32549604},
	year = {2020},
	pages = {15-15},
	orcid-numbers = {Horváth, Miklós/0000-0001-9656-0173}
}

@CONFERENCE{MTMT:31804209,
	title = {Theory and reality: a Comparative analysis of standard and real building usage and impact of input simplifications},
	url = {https://m2.mtmt.hu/api/publication/31804209},
	author = {Horváth, Miklós and Kovács, Helga and Vámos, Viktória and Deme Bélafi, Zsófia and Csoknyai, Tamás},
	booktitle = {Proceedings of the 5th IBPSA-England Conference on Building Simulation and Optimization (Virtual)},
	unique-id = {31804209},
	year = {2020},
	pages = {1-8},
	orcid-numbers = {Horváth, Miklós/0000-0001-9656-0173}
}

@inproceedings{MTMT:31790369,
	title = {Energy Consumption Cluster Analysis In Hungarian Buildings},
	url = {https://m2.mtmt.hu/api/publication/31790369},
	author = {Vámos, Viktória and Czétány, László and Horváth, Miklós and Csoknyai, Tamás},
	booktitle = {Simulace budov a techniky prostredi 2020},
	unique-id = {31790369},
	year = {2020},
	pages = {101-106},
	orcid-numbers = {Horváth, Miklós/0000-0001-9656-0173}
}

@article{MTMT:31787236,
	title = {Gas Consumption Analysis for Educational Buildings},
	url = {https://m2.mtmt.hu/api/publication/31787236},
	author = {Vámos, Viktória and Czétány, László and Horváth, Miklós and Csoknyai, Tamás},
	journal-iso = {VYTAPENI VETRANI INSTALACE},
	journal = {VYTAPENI VETRANI INSTALACE},
	volume = {29},
	unique-id = {31787236},
	issn = {1210-1389},
	abstract = {A vast energy consumption database is available in the framework of the research project entitled “Large Scale Smart Meter Data Assessment for Energy Benchmarking and Occupant Behaviour Profile Development of Building Clusters”. The database contains consumption data for approximately 10,000 buildings. Amongst the smart metered buildings, there are both residential and non-residential types. This research aims to identify different consumer groups and energy consumption profiles for various building types. For this study, a small sample was selected, which includes 76 school buildings. The energy consumption data are examined by using different clustering techniques: K-means, Fuzzy K-means, and Agglomerative Hierarchical Clustering Methods. In this artic le, the current sta te of our research is summarised.},
	year = {2020},
	pages = {327-331},
	orcid-numbers = {Horváth, Miklós/0000-0001-9656-0173}
}

@article{MTMT:31340492,
	title = {Használati melegvíz fogyasztási adatok vizsgálata budapesti távfűtött panelépületekben},
	url = {https://m2.mtmt.hu/api/publication/31340492},
	author = {Vámos, Viktória and Horváth, Miklós},
	journal-iso = {MAGYAR ÉPÜLETGÉPÉSZET},
	journal = {MAGYAR ÉPÜLETGÉPÉSZET},
	volume = {69},
	unique-id = {31340492},
	issn = {1215-9913},
	year = {2020},
	pages = {3-7},
	orcid-numbers = {Horváth, Miklós/0000-0001-9656-0173}
}