Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Masoud Bashari"'
Publikováno v:
Energies, Vol 17, Iss 4, p 878 (2024)
The transactive energy market is an emerging development in energy economics built on advanced metering infrastructure. Data generated in this context is often required for market operations, while also being privacy sensitive. This dual concern has
Externí odkaz:
https://doaj.org/article/1c455c3a752f4734ac207b4754f648a5
Publikováno v:
Fuzzy Sets and Systems. 454:125-148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0fffbe6b02bc69a8e4fa9378f2ee9f1
https://doi.org/10.1016/j.fss.2022.04.010
https://doi.org/10.1016/j.fss.2022.04.010
Publikováno v:
2022 IEEE PES Transactive Energy Systems Conference (TESC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd8d1853ec57f9df70a4fa64d39a9066
https://doi.org/10.1109/tesc53336.2022.9917256
https://doi.org/10.1109/tesc53336.2022.9917256
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 28:99-116
Opinion formation in social networks is an interesting dynamical process from the perspective of system modeling due to its large scale as well as the variety of structural and parametric uncertainties that it entails. This paper proposes a probabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f07cf3a43330cf01c6a64460b6f16ae
https://doi.org/10.1142/s0218488520500051
https://doi.org/10.1142/s0218488520500051
Publikováno v:
2020 IEEE PES Transactive Energy Systems Conference (TESC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfaa9f2d9a9a3aa1397c8025f1eea294
https://doi.org/10.1109/tesc50295.2020.9656942
https://doi.org/10.1109/tesc50295.2020.9656942
Autor:
Ashkan Rahimi-Kian, Masoud Bashari
Publikováno v:
2020 IEEE Power & Energy Society General Meeting (PESGM).
Accurate day-ahead (or 24-hours ahead) electric load forecasting for power systems is crucial for system’s optimal operations. In evolving smart distribution grids, the importance of precise electric load forecast in day-ahead is even more importan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8501fe16ee85d7d74c99a84b55b01303
https://doi.org/10.1109/pesgm41954.2020.9282124
https://doi.org/10.1109/pesgm41954.2020.9282124
Autor:
Philippe Hudon, Mazdak Nik-Bakht, Rafaela Orenga Panizza, Masoud Bashari, Pierre-Yves Chassain
Publikováno v:
Journal of Building Engineering. 30:101222
Building energy simulation is traditionally applied at late phases of the design, when most decisions on specifications of building systems are made. There has been a growing attempt in the literature to enable such simulations at earlier phases of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::673754d840448db2111f1ae65be63d83
https://doi.org/10.1016/j.jobe.2020.101222
https://doi.org/10.1016/j.jobe.2020.101222
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 544:123462
This paper proposes a topology reconfiguration approach for improving the rate of convergence of opinions to the opinion of a pre-specified leader for the class of convergent Deffuant models with a limited number of links. From a systems theory persp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3476a7d4c9223f2d79c329b46598986
https://doi.org/10.1016/j.physa.2019.123462
https://doi.org/10.1016/j.physa.2019.123462
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319769400
ECIR
ECIR
The removal of stopwords is an important preprocessing step in many natural language processing tasks, which can lead to enhanced performance and execution time. Many existing methods either rely on a predefined list of stopwords or compute word sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53998c59e338300a2712512e10827675
https://doi.org/10.1007/978-3-319-76941-7_70
https://doi.org/10.1007/978-3-319-76941-7_70
Publikováno v:
IET Generation, Transmission & Distribution. 9:1382-1390
Accurate price forecasting is crucial for all market participants in electricity markets. This study presents a hybrid price forecasting framework based on a new data fusion algorithm. Owing to the complexity and distinct nature of the electricity pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16df8e694c49fb45775a9ff4c18b080d
https://doi.org/10.1049/iet-gtd.2014.0653
https://doi.org/10.1049/iet-gtd.2014.0653