ArticleSensors (Basel, Switzerland)2018
Energy Optimization Using a Case-Based Reasoning Strategy.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- A Scheduler for Smart Home Appliances Based on a Novel Concept of Tariff Space.Sensors (Basel, Switzerland) · 2024Article
- AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems.SN computer science · 2022Review
- Algebraic Connectivity Control in Distributed Networks by Using Multiple Communication Channels.Sensors (Basel, Switzerland) · 2021Article
- A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms.Sensors (Basel, Switzerland) · 2019Article
- SmartFire: Intelligent Platform for Monitoring Fire Extinguishers and Their Building Environment.Sensors (Basel, Switzerland) · 2019Article
- Use of Multi-Agent Theory to Resolve Complex Indoor Air Quality Control Problems.Sensors (Basel, Switzerland) · 2019Article
- Artificial Intelligence-Assisted Heating Ventilation and Air Conditioning Control and the Unmet Demand for Sensors: Part 1. Problem Formulation and the Hypothesis.Sensors (Basel, Switzerland) · 2019Article
- Innovative Strain Sensing for Detection of Exterior Wall Tile Lesion: Smart Skin Sensory System.Materials (Basel, Switzerland) · 2018Article
- An Intelligent Smart Plug with Shared Knowledge Capabilities.Sensors (Basel, Switzerland) · 2018Article
- Agreement Technologies for Energy Optimization at Home.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At present, the domotization of homes and public buildings is becoming increasingly popular. Domotization is most commonly applied to the field of energy management, since it gives the possibility of managing the consumption of the devices connected to the electric network, the way in which the users interact with these devices, as well as other external factors that influence consumption. In buildings, Heating, Ventilation and Air Conditioning (HVAC) systems have the highest consumption rates. The systems proposed so far have not succeeded in optimizing the energy consumption associated with a HVAC system because they do not monitor all the variables involved in electricity consumption. For this reason, this article presents an agent approach that benefits from the advantages provided by a Multi-Agent architecture (MAS) deployed in a Cloud environment with a wireless sensor network (WSN) in order to achieve energy savings. The agents of the MAS learn social behavior thanks to the collection of data and the use of an artificial neural network (ANN). The proposed system has been assessed in an office building achieving an average energy savings of 41% in the experimental group offices.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.