Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Barkha Parkash"'
Publikováno v:
Energies, Vol 17, Iss 11, p 2550 (2024)
This study presents an efficient end-to-end (E2E) learning approach for the short-term load forecasting of hierarchically structured residential consumers based on the principles of a top-down (TD) approach. This technique employs a neural network fo
Externí odkaz:
https://doaj.org/article/998360ad1dd54bc3966f8e44823c6abb
Publikováno v:
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cfb2b3992bc20278a752479fd726ee8
https://doi.org/10.1109/acpee53904.2022.9784036
https://doi.org/10.1109/acpee53904.2022.9784036
Autor:
Shafiqur Rahman Tito, Saad Aslam, Tek Tjing Lie, Pieter Nieuwoudt, M. Daud Ahmed, Attique Ur Rehman, Neel Pandey, Barkha Parkash, Snjezana Soltic
Publikováno v:
2021 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP).
Forty percent of total generated electrical energy is consumed in buildings. Increasing the efficiency of energy consumption in a building will lead to the reduction of greenhouse gases. With the advent of the smart grid, smart energy management syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59b15a3ea9e56dff55b4fb0959920cbc
https://doi.org/10.1109/ict-pep53949.2021.9600916
https://doi.org/10.1109/ict-pep53949.2021.9600916
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 4, Iss 1 (2019)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::688c922d91cccd7ccbf3592860eff0c0
https://mediatum.ub.tum.de/doc/1545866/document.pdf
https://mediatum.ub.tum.de/doc/1545866/document.pdf
