Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ngoc-Son Truong"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract In recent years, the use of Building Information Modeling (BIM) with Building Energy Modeling (BEM) has become the primary research focus for reducing the energy consumption of buildings in the planning and operational phases. The combinatio
Externí odkaz:
https://doaj.org/article/f270c5d215d44dfb87ab2a48e8b81860
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 23, Iss 1, Pp 264-281 (2024)
Improving energy efficiency in buildings is a challenge during operation and maintenance. The work proposes a cloud artificial intelligence-based building energy management (cloud AI-BEM) system for predicting building energy consumption. The propose
Externí odkaz:
https://doaj.org/article/d5820e897dd248169807cfd8fece4013
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-24 (2022)
Abstract The development of a reliable energy use prediction model is still difficult due to the inherent complex pattern of energy use data. There are few studies developing a prediction model for the one-day-ahead energy use prediction in buildings
Externí odkaz:
https://doaj.org/article/07fb1eec0b8045ff98d28df7ea7a7e5d
Autor:
Ngoc-Tri Ngo, Thi Thu Ha Truong, Ngoc-Son Truong, Anh-Duc Pham, Nhat-To Huynh, Tuan Minh Pham, Vu Hong Son Pham
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract The building sector is the largest energy consumer accounting for 40% of global energy usage. An energy forecast model supports decision-makers to manage electric utility management. Identifying optimal values of hyperparameters of predictio
Externí odkaz:
https://doaj.org/article/756f59f83fbc459a9657350d5499fae5
Publikováno v:
Energies, Vol 16, Iss 10, p 3976 (2023)
This article focuses on developing an energy simulation model through Building Information Modeling (BIM) and Building Energy Modeling (BEM)to optimize energy in building design in Vietnam. Reducing the energy consumption in buildings will help reduc
Externí odkaz:
https://doaj.org/article/8a694b7a514c40e0a680f19d231006c4
Autor:
Ngoc-Son Truong
106
In recent years, energy information systems have had an important role in the operational optimization of intelligent buildings to provide such benefits as high efficiency, energy savings and smart services. Interest in the intelligent manag
In recent years, energy information systems have had an important role in the operational optimization of intelligent buildings to provide such benefits as high efficiency, energy savings and smart services. Interest in the intelligent manag
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/em59mt
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811933028
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bc429bba5eaa2d7b5ba6b03038ea6f4
https://doi.org/10.1007/978-981-19-3303-5_19
https://doi.org/10.1007/978-981-19-3303-5_19
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811933028
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b256b52c99137e5e6efc00496eb6932
https://doi.org/10.1007/978-981-19-3303-5_13
https://doi.org/10.1007/978-981-19-3303-5_13
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Building energy efficiency is important because buildings consume a significant energy amount. The study proposed additive artificial neural networks (AANNs) for predicting energy use in residential buildings. A dataset in hourly resolution was used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afaff7909f3e8696b6a96bc98842c17f
https://doi.org/10.1155/2021/6028573
https://doi.org/10.1155/2021/6028573
Autor:
Thi Thu Ha Truong, Ngoc-Son Truong, Anh-Duc Pham, Nhat-To Huynh, Tuan Minh Pham, Ngoc-Tri Ngo
Publikováno v:
Arabian Journal for Science and Engineering. 47:4105-4117
Predicting building energy use is necessary for energy planning, management, and conservation. It is difficult to achieve accurate prediction results due to the inherent complexity of building thermal characteristics and occupant behavior. Machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6950234eae3581f8c09b262fc7b40122
https://doi.org/10.1007/s13369-021-05927-7
https://doi.org/10.1007/s13369-021-05927-7