Resource management in home automation systems

Conte, G.; Perdon, Anna Maria; Scaradozzi, David; Morganti, Gianluca; Rosettani, Matteo

doi:10.1109/med.2010.5547602

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…They indicated that meeting available resources with the rapid growth in people comprises humankind's prime need. [3] In this context, tested and compared different strategies for allocating resources and establishing priorities using the home automation system. Although the researchers presented strategies for efficient energy management and optimal resource utilization, this was limited to a home automation system.…”

Section: Related Workmentioning

confidence: 99%

Toward Competent City Management using Multi-agent System (MAS)

Odeh,

Jayousi,

Rutrot

2023

icat

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multi-agent system plays a crucial role in many aspects of life. This refers to its ability to provide scalable and flexible solutions to complex problems. One of these problems is the management of resources in different cities around the world. In this study, we have used the multi-agent system concepts to build competent city resources management. Because of the time and software complexity that arises from implementing the whole system, we chose to implement one city entity, the energy entity. Petri net is used to model the system mathematically. At the same time, we used CPN tools software to simulate the system behaviour in real life. The mathematical model and simulation results proved that the designed energy MAS would achieve its goals when applied in real life. In the future, we intend to complete the construction of the whole system for better resource management of all entities in the city

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Section: Related Workmentioning

confidence: 99%

Toward Competent City Management using Multi-agent System (MAS)

Odeh,

Jayousi,

Rutrot

2023

icat

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“…Some works proposes different strategies for allocating resources and establishing priorities. For example, Conte et al describe a simulation environment based on a proposed multi-agent system theory for resource management in home automation systems [17,18,19]. Pan et al propose an energy management strategy to minimize the fuel consumption and the battery charging cost by developing and implementing a battery state-of-charge (SOC) pulse-and-glide strategy [20].…”

Section: Introductionmentioning

confidence: 99%

A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms

Romero-Ternero

Oviedo-Olmedo

Carrasco

et al. 2019

Sensors

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A common problem in solar farms is to predict when accumulators stop working optimally and start losing efficiency. This paper proposes and describes how to use Bayesian networks together with expert systems to predict this moment by using a telecontrol multiagent system for monitoring solar farms with distributed sensors, which was developed in a previous work. To this end, a Bayesian network model and its implementation are proposed. The resulting system meets the requirements of telecontrol systems (reliability, flexibility, and response time), yields a solution for the prediction of lifespan batteries, and provides the multiagent system with autonomous intelligent capabilities and integrated learning.

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