Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Hanane Dagdougui"'
Publikováno v:
Operational Research in Engineering Sciences: Theory and Applications, Vol 6, Iss 2 (2023)
Despite significant progress in wireless sensor network’s (WSN) applications in recent years, major problems persist, notably the efficiency of the battery power use for data exchange. In fact, sensor nodes are known to be energy-limited, they are
Externí odkaz:
https://doaj.org/article/372e09238cc84741a98668362eb0cbf6
Publikováno v:
IEEE Access, Vol 10, Pp 34846-34857 (2022)
The current electricity market is better described as an oligopoly than a market of perfect competition from which, in fact, it may be rather far. The increasing penetration of residential distributed energy resources has led to a significant number
Externí odkaz:
https://doaj.org/article/4ab18fc3591045f685599ed11d86b3fd
Publikováno v:
IEEE Access, Vol 7, Pp 22486-22494 (2019)
This paper presents a cooperative distributed model for the control of product flow in a network of cooperative inventory systems (ISs). In each IS, a linear input/output equation describes the balance between product demand vs production, as well as
Externí odkaz:
https://doaj.org/article/0983320bd5b14f27aff13c71b561a5e1
Publikováno v:
IEEE Transactions on Transportation Electrification. 9:1238-1251
Publikováno v:
IEEE Transactions on Sustainable Energy. 14:453-464
Publikováno v:
International Journal of Sustainable Transportation. :1-16
Publikováno v:
IEEE Transactions on Power Delivery. 37:5224-5233
Publikováno v:
IEEE Transactions on Smart Grid. 13:2038-2049
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 6:255-266
In this paper, we present an adaptive Reinforcement Learning (RL) agent training approach which aims to provide a temperature control adaptable to various types of buildings. The main purpose of the proposed method is to avoid repeating the training
Autor:
Hanane Dagdougui, Kianoosh Ojand
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 19:70-81
This article presents a demand response scheduling model in a residential community using an energy management system aggregator. The aggregator manages a set of resources, including photovoltaic system, energy storage system, thermostatically contro