@article{MTMT:34571285,
	title = {Estimation of Solar Irradiance Using a Neural Network Based on the Combination of Sky Camera Images and Meteorological Data},
	url = {https://m2.mtmt.hu/api/publication/34571285},
	author = {Barancsuk, Lilla and Groma, Veronika and Günter, Dalma and Osán, János and Hartmann, Bálint},
	doi = {10.3390/en17020438},
	journal-iso = {ENERGIES},
	journal = {ENERGIES},
	volume = {17},
	unique-id = {34571285},
	issn = {1996-1073},
	abstract = {In recent years, with the growing proliferation of photovoltaics (PV), accurate nowcasting of PV power has emerged as a challenge. Global horizontal irradiance (GHI), which is a key factor influencing PV power, is known to be highly variable as it is determined by short-term meteorological phenomena, particularly cloud movement. Deep learning and computer vision techniques applied to all-sky imagery are demonstrated to be highly accurate nowcasting methods, as they encode crucial information about the sky’s state. While these methods utilize deep neural network models, such as Convolutional Neural Networks (CNN), and attain high levels of accuracy, the training of image-based deep learning models demands significant computational resources. In this work, we present a computationally economical estimation technique, based on a deep learning model. We utilize both all-sky imagery and meteorological data, however, information on the sky’s state is encoded as a feature vector extracted using traditional image processing methods. We introduce six all-sky image features utilizing detailed knowledge of meteorological and physical phenomena, significantly decreasing the amount of input data and model complexity. We investigate the accuracy of the determined global and diffuse radiation for different combinations of meteorological parameters. The model is evaluated using two years of measurements from an on-site all-sky camera and an adjacent meteorological station. Our findings demonstrate that the model provides comparable accuracy to CNN-based methods, yet at a significantly lower computational cost.},
	year = {2024},
	eissn = {1996-1073},
	pages = {438},
	orcid-numbers = {Günter, Dalma/0009-0003-8708-0700; Osán, János/0000-0002-5392-1474; Hartmann, Bálint/0000-0001-5271-2681}
}

@article{MTMT:34571707,
	title = {Az égboltkamerák szerepe a fotovillamos termelés rövidtávú előrejelzésében},
	url = {https://m2.mtmt.hu/api/publication/34571707},
	author = {Günter, Dalma and Barancsuk, Lilla and Groma, Veronika and Sinkovics, Bálint},
	journal-iso = {ELEKTROTECHNIKA},
	journal = {ELEKTROTECHNIKA},
	volume = {116},
	unique-id = {34571707},
	issn = {0367-0708},
	year = {2023},
	pages = {7-10}
}

@CONFERENCE{MTMT:34571291,
	title = {Optimizing Renewable Energy Communities for Local Consumption Patterns in Hungary},
	url = {https://m2.mtmt.hu/api/publication/34571291},
	author = {Barancsuk, Lilla and Hartmann, Bálint and Lorenti, Gianmarco and Repetto, Maurizio and Sinkovics, Bálint},
	booktitle = {OIPE 17th International Workshop on Optimization and Inverse Problems in Electromagnetism},
	unique-id = {34571291},
	year = {2023}
}

@inproceedings{MTMT:34431522,
	title = {Fotovillamos termelésbecslés támogatása multimodális neurális háló segítségével égboltkameraképek és különböző konfigurációjú időjárási adatok alapján},
	url = {https://m2.mtmt.hu/api/publication/34431522},
	author = {Barancsuk, Lilla and Günter, Dalma and Groma, Veronika and Hartmann, Bálint},
	booktitle = {XIII. Mechwart András Ifjúsági Találkozó: Konferenciakiadvány},
	doi = {10.54232/MAIT.2023_1},
	unique-id = {34431522},
	year = {2023},
	pages = {7-19}
}

@article{MTMT:34162531,
	title = {Role of Voltage Control Devices in Low Voltage State Estimation Process},
	url = {https://m2.mtmt.hu/api/publication/34162531},
	author = {Táczi, István and Vokony, István and Barancsuk, Lilla and Péter, Gábor Mihály and Tőzsér, Balázs and Hartmann, Bálint},
	doi = {10.1155/2023/6614905},
	journal-iso = {INT T ELECTR ENERGY},
	journal = {INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS},
	volume = {2023},
	unique-id = {34162531},
	issn = {2050-7038},
	abstract = {Megatrends, such as the proliferation of distributed generation, electrification, and the appearance of aggregator companies, put the low voltage power grids under intense pressure. Since the network infrastructure developments cannot keep up with the trends, distribution system operators turned to alternative solutions. Smart grid assets, such as on-load tap-changing distribution transformers or serial low voltage regulators, are promising solutions. However, the energy transition cannot be handled with the network expansive on the distribution level. Control centers are predicted to expand to this voltage level in the near future, and distribution system state estimation could be an enabler of all functionalities. On the low voltage level, data scarcity is a great challenge in observability; therefore, research must focus on the creation of pseudomeasurements and integration of available data sources. This paper examines the inclusion of smart assets from the conceptual point to the application on two sites, based on data from operational environments, both with a pseudomeasurement and an integrated metering point approach. The results showed that integrating smart assets could considerably mitigate voltage fluctuations, and reduce estimation errors by two magnitudes on the low voltage network.},
	year = {2023},
	eissn = {2050-7038},
	orcid-numbers = {Táczi, István/0000-0002-0835-0481}
}

@article{MTMT:33807256,
	title = {Elosztóhálózati állapotbecslés támogatása adatalapú technológiákkal},
	url = {https://m2.mtmt.hu/api/publication/33807256},
	author = {Békési, Gergő Bendegúz and Hartmann, Bálint and Barancsuk, Lilla},
	journal-iso = {ELEKTROTECHNIKA},
	journal = {ELEKTROTECHNIKA},
	volume = {116},
	unique-id = {33807256},
	issn = {0367-0708},
	year = {2023},
	pages = {15-18}
}

@inproceedings{MTMT:34003594,
	title = {Critical synchronization dynamics on power-grids},
	url = {https://m2.mtmt.hu/api/publication/34003594},
	author = {Deng, Shengfeng and Ódor, Géza and Hartmann, Balint and Barancsuk, Lilla},
	booktitle = {APS March Meeting Abstracts},
	volume = {2022},
	unique-id = {34003594},
	year = {2022},
	orcid-numbers = {Ódor, Géza/0000-0001-9259-5352}
}

@article{MTMT:33292446,
	title = {Feszültségszabályozó eszközök szerepe a kisfeszültségű állapotbecslésben},
	url = {https://m2.mtmt.hu/api/publication/33292446},
	author = {Táczi, István and Vokony, István and Barancsuk, Lilla and Péter, Gábor Mihály and Tőzsér, Balázs and Hartmann, Bálint},
	journal-iso = {ELEKTROTECHNIKA},
	journal = {ELEKTROTECHNIKA},
	volume = {115},
	unique-id = {33292446},
	issn = {0367-0708},
	year = {2022},
	pages = {39-42},
	orcid-numbers = {Táczi, István/0000-0002-0835-0481}
}

@article{MTMT:33087497,
	title = {Spatial Aggregation of Local Flexibility – Horizon2020 project experiences},
	url = {https://m2.mtmt.hu/api/publication/33087497},
	author = {Vokony, István and Salama, Hossam Salah Hussein and Barancsuk, Lilla and Sőrés, Péter Márk},
	doi = {10.24084/repqj20.377},
	journal-iso = {RENEWABLE ENERGY & POWER QUALITY J},
	journal = {RENEWABLE ENERGY & POWER QUALITY JOURNAL},
	volume = {20},
	unique-id = {33087497},
	abstract = {With the growth of renewables, the increased interconnection of European grids, the development of local energy initiatives, and the specific requirements on TSO–DSO cooperation as set forth in the different Network Codes and Guidelines, TSOs and DSOs face new challenges that will require greater coordination. The aforementioned measures encourage procurement of services at both the transmission and the distribution level, recognizing that this will enable more efficient and effective network management and will increase the level of demand response and the capacity of renewable generation. Digitalization is a key driver for coordination and active system management in the electricity grid, enabling TSOs and DSOs to optimize the use of distributed resources and ensure a costeffective and secure supply of electricity. It also empowers endusers to become active market participants, supporting selfgeneration and providing demand flexibility. To support the transformation, the INTERRFACE project, started in 2019, will design, develop and exploit an Interoperable pan-European Grid Services Architecture (IEGSA) to act as the interface between the power system (TSO and DSO – transmission system operator, distribution system operator) and the customers, and allow the seamless and coordinated operation of all stakeholders to use and procure common services. This paper describes the approach of one INTERRFACE demonstration, the spatial aggregation of local flexibility and its realization that contributes providing a clear market approach to include local constraints into the already well-established and working wholesale energy market solutions},
	year = {2022},
	eissn = {2172-038X},
	pages = {596-601}
}

@article{MTMT:33067620,
	title = {P2P local market concept whith dynamic network usage tariff vi asset enablement – Horizon2020 project demo experiences},
	url = {https://m2.mtmt.hu/api/publication/33067620},
	author = {Vokony, István and Salama, Hossam Salah Hussein and Barancsuk, Lilla and Sinkovics, Bálint and Sőrés, Péter Márk and Hartmann, Bálint and Táczi, István},
	doi = {10.24084/repqj20.376},
	journal-iso = {RENEWABLE ENERGY & POWER QUALITY J},
	journal = {RENEWABLE ENERGY & POWER QUALITY JOURNAL},
	volume = {20},
	unique-id = {33067620},
	abstract = {With the growth of renewables, the increased interconnection of European grids, the development of local energy initiatives, and the specific requirements on transmission system operator (TSO) – distribution system operator (DSO) cooperation as set forth in the different Network Codes and Guidelines, TSOs and DSOs face new challenges that will require greater coordination. The European Commission adopted legislative proposals on the energy market that promote cooperation among network operators as they procure balancing and other ancillary services and provide congestion management. Therefore, this creates the need for a specific project such as the H2020 INTERRFACE project, having the greater coordination between TSOs and DSOs as its core objective. In this project, one of the demonstrations is a local asset-enabled energy market to provide data-driven, simulation-based results, with a realistic market setting. There the transactions beneficial for the distribution grid are facilitated via dynamic pricing (DNUT – dynamic network usage tariff). In the demonstration of a local market that runs based on data, provided from 3 sites (2 Hungarian, 1 Slovenian), local distribution system operators are involved to provide grid and consumption/production data. This paper discusses the first results from one demonstration site, which contribute to the development of local P2P markets. It also facilitates the introduction of grid calculation based dynamic tariffs by providing practical results from the cooperation of research entities and DSOs in the H2020 INTERRFACE project.},
	year = {2022},
	eissn = {2172-038X},
	pages = {590-595},
	orcid-numbers = {Táczi, István/0000-0002-0835-0481}
}