Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Feb 13, 2026

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.6K

Energy Optimization Using a Case-Based Reasoning Strategy.

Alfonso González-Briones1, Javier Prieto2, Fernando De La Prieta3

  • 1BISITE Digital Innovation Hub, University of Salamanca, Edificio I+D+I, 37007 Salamanca, Spain. alfonsogb@usal.es.

Sensors (Basel, Switzerland)
|March 16, 2018
PubMed
Summary

Related Concept Videos

Reason and Intuition01:37

Reason and Intuition

7.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.5K
Reasoning01:30

Reasoning

440
Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
440
Deductive Reasoning01:16

Deductive Reasoning

69.3K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
69.3K
Inductive Reasoning00:59

Inductive Reasoning

67.9K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
67.9K
Activation Energy01:26

Activation Energy

87.1K
Activation energy is the minimum amount of energy necessary for a chemical reaction to move forward. The higher the activation energy, the slower the rate of the reaction. However, adding heat to the reaction will increase the rate, since it causes molecules to move faster and increase the likelihood that molecules will collide. The collision and breaking of bonds represents the uphill phase of a reaction and generates the transition state. The transition state is an unstable high-energy state...
87.1K
Nuclear Binding Energy02:13

Nuclear Binding Energy

14.8K
The difference between the calculated and experimentally measured masses is known as the mass defect of the atom. In the case of helium-4, the mass defect indicates a “loss” in mass of 4.0331 amu – 4.0026 amu = 0.0305 amu. The loss in mass accompanying the formation of an atom from protons, neutrons, and electrons is due to the conversion of that mass into energy that is evolved as the atom forms. The nuclear binding energy is the energy produced when the atoms’ nucleons are bound...
14.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Maximum-Return-Driven Consensus Framework With Internal-External Compensation in Undirected Collaboration Network.

IEEE transactions on cybernetics·2026
Same author

Resilient Consensus Control of Nonlinear Multiagent Systems Under Hybrid Cyberattacks: A Disturbance Observer-Based Neural Network Approach.

IEEE transactions on cybernetics·2026
Same author

Three-Way Conflict Analysis and Resolution for Intuitionistic Fuzzy Information Systems via Three-Way Concept Analysis.

IEEE transactions on cybernetics·2025
Same author

Leveraging transformers for semi-supervised pathogenicity prediction with soft labels.

Journal of integrative bioinformatics·2025
Same author

Z-Number Generation Model and Its Application in a Rule-Based Classification System.

IEEE transactions on cybernetics·2025
Same author

Literature Review of Deep-Learning-Based Detection of Violence in Video.

Sensors (Basel, Switzerland)·2024
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles
This summary is machine-generated.

Smart building technology optimizes energy use. A new Multi-Agent System (MAS) with artificial neural networks (ANNs) and wireless sensor networks (WSN) achieved 41% energy savings in HVAC systems.

Area of Science:

  • Building energy management
  • Artificial intelligence in energy systems
  • Smart building technology

Background:

  • Domotics, or home automation, is increasingly popular for managing building energy consumption.
  • Heating, Ventilation, and Air Conditioning (HVAC) systems represent the largest energy consumers in buildings.
  • Existing energy optimization systems often fail due to incomplete monitoring of consumption variables.

Purpose of the Study:

  • To present an agent-based approach for optimizing energy consumption in buildings.
  • To leverage a Multi-Agent System (MAS) architecture in a Cloud environment.
  • To integrate a Wireless Sensor Network (WSN) for comprehensive data collection.

Main Methods:

  • Deployment of a Multi-Agent System (MAS) in a Cloud environment.
Keywords:
case-based reasoningintelligent managementsmart buildingubiquitous computing

More Related Videos

Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method
09:32

Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method

Published on: September 10, 2017

11.5K
Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies
09:00

Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies

Published on: May 22, 2012

410.5K

Related Experiment Videos

Last Updated: Feb 13, 2026

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.6K
Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method
09:32

Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method

Published on: September 10, 2017

11.5K
Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies
09:00

Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies

Published on: May 22, 2012

410.5K
  • Utilization of a Wireless Sensor Network (WSN) for real-time data acquisition.
  • Application of an Artificial Neural Network (ANN) for agent learning and behavioral adaptation.

    • Main Results:

    • The proposed system demonstrated significant energy savings in an office building setting.
    • An average energy saving of 41% was achieved in the offices utilizing the experimental system.
    • The MAS effectively learned social behaviors through data collection and ANN processing.

    Conclusions:

    • The agent-based approach integrated with Cloud and WSN is effective for energy management.
    • Artificial intelligence, specifically ANNs, plays a crucial role in optimizing HVAC energy consumption.
    • This methodology offers a promising solution for reducing energy waste in smart buildings.