Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Manar Amayri"'
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
Smart buildings have gained increasing interest recently by providing several advanced solutions, especially AI-based solutions. Activity recognition and occupancy estimation are among the outcomes of smart buildings that can help provide several adv
Externí odkaz:
https://doaj.org/article/d11afc37eb5840c7a4aa4970df2cf7cc
Publikováno v:
Sensors, Vol 24, Iss 17, p 5802 (2024)
In this study, we introduce an innovative method for load forecasting that capitalizes on the concept of task affinity score to measure the similarity between various tasks. The task affinity score emerges as a superior technique for assessing task s
Externí odkaz:
https://doaj.org/article/619c498589c14dfdac30745134c5e4a6
Publikováno v:
Sensors, Vol 23, Iss 19, p 8296 (2023)
Smart meter datasets have recently transitioned from monthly intervals to one-second granularity, yielding invaluable insights for diverse metering functions. Clustering analysis, a fundamental data mining technique, is extensively applied to discern
Externí odkaz:
https://doaj.org/article/7aca3848b18945bf9c82df6cf62196c7
Publikováno v:
IEEE Access, Vol 9, Pp 31191-31212 (2021)
Since electricity plays a crucial role in countries' industrial infrastructures, power companies are trying to monitor and control infrastructures to improve energy management and scheduling. Accurate forecasting is a critical task for a stable and e
Externí odkaz:
https://doaj.org/article/2e2a8bf7eff5465facf975feb2028bb1
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
The purpose of this paper is to provide a method for assessing the impact of direct and indirect flexibilities on the self-consumption of office buildings. The goal is to assess how both the human actors and technical interventions can affect or miti
Externí odkaz:
https://doaj.org/article/a37e4b61dcfc49a2a255e4824d666b5c
Publikováno v:
IEEE Access, Vol 7, Pp 53932-53944 (2019)
Interactive learning plays a key role in extending the occupant behavior implementation toward smart buildings. Efficient feedbacks can be obtained from the end user by involving occupants and increasing their awareness about energy systems. Working
Externí odkaz:
https://doaj.org/article/3d00d7106ac4417896d4fdbf4a8c1fac
Publikováno v:
Sensors, Vol 22, Iss 9, p 3186 (2022)
Accurate and timely occupancy prediction has the potential to improve the efficiency of energy management systems in smart buildings. Occupancy prediction heavily depends on historical occupancy-related data collected from various sensor sources. Unf
Externí odkaz:
https://doaj.org/article/331c67b71c8b478d85870c2689c32145
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 16:1-48
In topic models, collections are organized as documents where they arise as mixtures over latent clusters called topics. A topic is a distribution over the vocabulary. In large-scale applications, parametric or finite topic mixture models such as LDA
Publikováno v:
Procedia Computer Science. 203:326-333
Publikováno v:
Applied Intelligence.