Jove
Visualize
Contact Us

Related Concept Videos

Energy Budgets00:51

Energy Budgets

10.2K
Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
10.2K
Energy and Power Signals01:17

Energy and Power Signals

909
In an electrical system with a resistor, voltage and current signals facilitate the measurement of power and energy across the resistor. For a continuous-time signal, the total energy over a time interval is defined as the integral of the square of the signal's magnitude over that interval. Mathematically, this is expressed as:
909
Potential-Energy Criterion for Equilibrium01:16

Potential-Energy Criterion for Equilibrium

767
Potential energy or potential function plays an essential role in determining the stability of a mechanical system. If a system is subjected to both gravitational and elastic forces, the potential function of the system can be expressed as the algebraic sum of gravitational and elastic potential energy. If the system is in equilibrium and is displaced by a small amount, then the work done on the system equals the negative of the change in the system's potential energy from the initial to the...
767
Energy Associated With a Charge Distribution01:21

Energy Associated With a Charge Distribution

1.8K
The work done to bring a charge through a distance r is given by the potential difference between the initial and the final position. To assemble a collection of point charges, the total work done can be expressed in terms of the product of each pair of charges divided by their separation distance, defined with respect to a suitable origin. Solving this expression gives the energy stored in a point charge distribution.
1.8K
Energy Bands in Solids01:01

Energy Bands in Solids

1.6K
Isolated atoms have discrete energy levels that are well described by the Bohr model. And, it quantifies the energy of an electron in a hydrogen atom as En. Higher quantum numbers 'n' yield less negative, closer electron energy levels.
 Band Formation:
When atoms are brought close together, as in a solid, these discrete energy levels begin to split due to the overlap of electron orbitals from adjacent atoms. This split occurs because of the Pauli exclusion principle, which states...
1.6K
Strain-Energy Density01:20

Strain-Energy Density

675
Understanding the strain energy density in materials under axial load is crucial for evaluating their mechanical behavior and durability. When a rod is subjected to such a load, it elongates and stores energy, known as strain energy, as potential energy within the material. This energy is measured in terms of energy per unit volume.
In the elastic region of a material, the relationship between the stress and the strain is linear and follows Hooke's Law. The strain energy density in this region...
675

You might also read

Related Articles

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

Sort by
Same author

A Review of IoT Firmware Vulnerabilities and Auditing Techniques.

Sensors (Basel, Switzerland)·2024
Same author

A Blockchain Secured Pharmaceutical Distribution System to Fight Counterfeiting.

International journal of environmental research and public health·2022
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles
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: Nov 27, 2025

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

6.0K

Entropy-Based Metrics for Occupancy Detection Using Energy Demand.

Denis Hock1, Martin Kappes1, Bogdan Ghita2

  • 1Faculty of Computer Science and Engineering, University of Applied Sciences Frankfurt am Main, 60318 Frankfurt am Main, Germany.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces novel entropy-based metrics derived from smart meter data to detect human activity in homes. These methods offer a cost-effective alternative to dedicated sensors for energy management and automation.

Keywords:
energy demandentropy applicationsprivacy

More Related Videos

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.1K
Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
06:57

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

Published on: August 9, 2016

11.7K

Related Experiment Videos

Last Updated: Nov 27, 2025

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

6.0K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.1K
Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
06:57

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

Published on: August 9, 2016

11.7K

Area of Science:

  • Energy Systems Engineering
  • Artificial Intelligence
  • Data Science

Background:

  • Smart meters offer detailed energy data valuable for consumers and providers.
  • Detecting human activity typically requires dedicated sensors, increasing costs.
  • Existing methods for occupancy detection from smart meter data have limitations.

Purpose of the Study:

  • To propose and evaluate new entropy-based metrics for inferring human activity from smart meter readings.
  • To explore the application and parameter effects of these novel metrics.
  • To establish a foundation for future research in smart meter-based activity recognition.

Main Methods:

  • Developed two new metrics: sliding window entropy and interval entropy, inspired by Shannon's entropy.
  • Applied these metrics to the publicly available ECO dataset for analysis.
  • Compared performance against established methods like Page-Hinkley test and geometric moving average.

Main Results:

  • The proposed entropy-based metrics demonstrate competitive accuracy and area under the curve compared to existing statistical methods.
  • Experimental results validate the practical relevance of using smart meter data for activity detection.
  • The approach effectively utilizes energy consumption patterns to infer human presence.

Conclusions:

  • Novel entropy metrics derived from smart meter data can effectively detect human activity without additional sensors.
  • This approach provides a viable and practical solution for applications like home automation and demand-side management.
  • The findings highlight the potential of smart meter data for advanced residential monitoring.