Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dacian I. JURJ"'
Autor:
Dacian I. JURJ, Dan D. MICU, Alexandru G. BERCIU, Mircea LANCRAJAN, Levente CZUMBIL, Andrei BENDE, Bogdan A. MITRACHE, Alexandru MUREȘAN
Publikováno v:
Carpathian Journal of Electrical Engineering, Vol 17, Iss 1, Pp 21-31 (2023)
This paper delves into the subject of outlier detection techniques tailored for unique datasets related to residential energy consumption. Building upon the current state of research we introduce the Grubbs and Z-score methods and investigate a range
Externí odkaz:
https://doaj.org/article/f3ee8e9e5bd047b3b20c12f64c0fadd0
Autor:
Dacian I. Jurj, Levente Czumbil, Bogdan Bârgăuan, Andrei Ceclan, Alexis Polycarpou, Dan D. Micu
Publikováno v:
Sensors, Vol 21, Iss 9, p 2946 (2021)
The aim of this paper is to provide an extended analysis of the outlier detection, using probabilistic and AI techniques, applied in a demo pilot demand response in blocks of buildings project, based on real experiments and energy data collection wit
Externí odkaz:
https://doaj.org/article/4e5026248c604c22a5d03ed763d50548
Publikováno v:
2021 9th International Conference on Modern Power Systems (MPS).
The present work brings to the reader's attention the benefits and facilities of the Energy Pulse application. The application enwraps a complete solution for real-time monitoring of electrical energy consumption of the Faculty of Electrical Engineer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab8f122ed49f0f096122971800b56d2d
https://doi.org/10.1109/mps52805.2021.9492626
https://doi.org/10.1109/mps52805.2021.9492626
Autor:
Alexis Polycarpou, Dacian I. Jurj, Levente Czumbil, Andrei Ceclan, Dan D. Micu, Bogdan Bârgăuan
Publikováno v:
Sensors
Volume 21
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2946, p 2946 (2021)
Sensors 2021, 21(9)
Volume 21
Issue 9
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 2946, p 2946 (2021)
Sensors 2021, 21(9)
The aim of this paper is to provide an extended analysis of the outlier detection, using probabilistic and AI techniques, applied in a demo pilot demand response in blocks of buildings project, based on real experiments and energy data collection wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f57c1a8daefb826904ea2f5b530768d
Autor:
Dan D. Micu, Mircea Lancrajan, Alexandru G. Berciu, Levente Czumbil, Dacian I. Jurj, Denisa M. Barar
Publikováno v:
2020 55th International Universities Power Engineering Conference (UPEC)
Statistical Techniques and Artificial Intelligence are becoming much more a necessity in a fastened world rather than just a theoretical use case. In order to satisfy this need, the optimization process starts with data collecting and cleaning. The a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afb255ed155e707736da94fdee7b49f0
Publikováno v:
2018 International Conference and Exposition on Electrical And Power Engineering (EPE).
The following paper presents an overview of the actual forecasting methods and models used in renewable energy systems. The purpose of the study is to summarize the available forecasting tools in order to select the most efficient approach. The paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b155b709afe02c9b0b4102eb59bc5c7
https://doi.org/10.1109/icepe.2018.8559807
https://doi.org/10.1109/icepe.2018.8559807
Autor:
Laura Darabant, Alexandru Muresan, Dan D. Micu, Dacian I. Jurj, Grigoris K. Papagiannis, Claudia Maria Muresan, Levente Czumbil, Denisa Stet, Mihaela Cretu, Stefan Cirstea, Andrei Ceclan, Timea Farkas
Publikováno v:
2021 56th International Universities Power Engineering Conference (UPEC)
An Educational & Training Program was developed by a consortium of eight European countries through EU Horizon 2020 funding scheme. The program was certified by each country according with the ECTS requirements and is focusing to increase the SME’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c0867778a1c706f0b301b90a461260d
