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 Concept Videos

Using a pH Meter09:28

Using a pH Meter

356.6K
Source: Laboratory of Dr. Zhongqi He - United States Department of Agriculture
Acids and bases are substances capable of donating protons (H+) and hydroxide ions (OH-), respectively. They are two extremes that describe chemicals. Mixing acids and bases can cancel out or neutralize their extreme effects. A substance that is neither acidic nor basic is neutral. The values of proton concentration ([H+]) for most solutions are inconveniently small and difficult to compare so that a more practical...
356.6K
Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

1.3K
Presented here is a protocol for collecting and processing underwater photogrammetry data, including a significantly simplified and fully automated image processing pipeline resulting in georeferenced and time-series aligned outputs ready for ecological data extraction, analysis, and application.
1.3K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

11.7K
Our Bayesian Change Point (BCP) algorithm builds on state-of-the-art advances in modeling change-points via Hidden Markov Models and applies them to chromatin immunoprecipitation sequencing (ChIPseq) data analysis. BCP performs well in both broad and punctate data types, but excels in accurately identifying robust, reproducible islands of diffuse histone...
11.7K
Efficiency of Liquid-liquid Extraction09:21

Efficiency of Liquid-liquid Extraction

49.9K
Source: Kerry M. Dooley and Michael G. Benton, Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA
Liquid-liquid extraction (LLE) is a separation technique used instead of distillation when either: (a) the relative volatilities of the compounds to be separated are very similar; (b) one or more of the mixture components are temperature sensitive even near ambient conditions; (c) the distillation would require a very low pressure or a very high distillate/feed...
49.9K
Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon07:52

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon

1.5K
Cryo-electron microscopy (cryoEM) multi-grid screening is often a tedious process that demands hours of attention. This protocol shows how to set up a standard Leginon collection and Smart Leginon Autoscreen to automate this process. This protocol can be applied to the majority of cryoEM holey foil...
1.5K
Operant Learning of Drosophila at the Torque Meter17:31

Operant Learning of Drosophila at the Torque Meter

14.0K
Measuring the yaw torque of tethered Drosophila with the torque meter allows the neuroscientist exquisite control of the stimulus situation of the experimental animal. Together with the unique genetic tools available in the fruit fly, this paradigm is used for a wide variety of neurobiological...
14.0K

You might also read

Related Articles

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

Sort by
Same author

Antimicrobial activity of spiculisporic acid isolated from endophytic fungus Aspergillus cejpii of Hedera helix against MRSA.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]·2024
Same author

Effect of silver diamine fluoride on the microleakage of flowable resin composite and glass ionomer cement restorations to carious primary dentin: an-in vitro study.

BMC oral health·2024
Same author

Gene selection and tumor identification based on a hybrid of the multi-filter embedded recursive mountain gazelle algorithm.

Computers in biology and medicine·2023
Same author

Optimization and characterization of antileukemic L-asparaginase produced by Fusarium solani endophyte.

AMB Express·2023
Same author

Ethiopian indigenous goats offer insights into past and recent demographic dynamics and local adaptation in sub-Saharan African goats.

Evolutionary applications·2021
Same author

Classification of breast cancer using microarray gene expression data: A survey.

Journal of biomedical informatics·2021
Same journal

Novel Parent Survey Measures Sensory Behaviors Incorporating Sensory Modality and Stimulus Intensity.

Heliyon·2026
Same journal

Expression of concern: "SQSTM1/p62 promotes the progression of gastric cancer through epithelial-mesenchymal transition" [Heliyon 10 (2024) e24409].

Heliyon·2026
Same journal

Expression of concern: "TL1A promotes metastasis and EMT process of colorectal cancer" [Heliyon 10 (2024) e24392].

Heliyon·2026
Same journal

Expression of concern: "Factors affecting timing of surgery following neoadjuvant chemoradiation for esophageal cancer" [Heliyon 9 (2023) e23212].

Heliyon·2026
Same journal

Expression of concern: "On stratified single-valued soft topogenous structures" [Heliyon 10 (2024) e27926].

Heliyon·2026
Same journal

Expression of concern: "Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN" [Heliyon 10 (2024) e27198].

Heliyon·2026
See all related articles

Related Experiment Video

Updated: Jan 19, 2026

Using a pH Meter: Principles, Calibration and pH Measurement
09:28

Using a pH Meter: Principles, Calibration and pH Measurement

Published on: April 30, 2023

356.6K

An efficient algorithm for extracting appliance-time association using smart meter data.

Sarah Osama1, Marco Alfonse1, Abdel-Badeeh M Salem1

  • 1Computer Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.

Heliyon
|September 10, 2019
PubMed
Summary
This summary is machine-generated.

This study extracts appliance usage patterns from smart meter data to build trust in energy management solutions. It reveals appliance-time associations, prioritizing user preferences for better Demand Response (DR) program adoption.

Keywords:
Appliance-time associationComputer scienceInternet of things (IoT)Smart meter

More Related Videos

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.3K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

Related Experiment Videos

Last Updated: Jan 19, 2026

Using a pH Meter: Principles, Calibration and pH Measurement
09:28

Using a pH Meter: Principles, Calibration and pH Measurement

Published on: April 30, 2023

356.6K
Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.3K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.7K

Area of Science:

  • Energy Management
  • Artificial Intelligence
  • Consumer Behavior

Background:

  • Demand Response (DR) programs are crucial for energy management but face challenges in gaining resident trust and respecting appliance usage preferences.
  • Extracting resident behavior from massive smart meter data is complex.
  • Understanding appliance-level energy consumption patterns is key to improving DR program effectiveness.

Purpose of the Study:

  • To extract temporal association patterns of energy consumption at the appliance level.
  • To enhance the Utility-oriented Temporal Association Rules Mining (UTARM) algorithm for discovering appliance usage preferences over time.
  • To integrate appliance usage priority as a utility factor within temporal association rule mining.

Main Methods:

  • Extension of the Utility-oriented Temporal Association Rules Mining (UTARM) algorithm.
  • Analysis of temporal association patterns in energy consumption data.
  • Incorporation of appliance usage priority and temporal partitioning (24-hour day) into the mining process.

Main Results:

  • Successful extraction of appliance-time association patterns from smart meter data.
  • Demonstration of appliance usage preferences at specific times.
  • Validation of the approach in considering appliance priority and temporal factors.

Conclusions:

  • The proposed method effectively extracts temporal appliance usage preferences, crucial for user-centric energy management.
  • Considering appliance priority enhances the relevance of discovered patterns for Demand Response programs.
  • This approach can significantly improve resident trust and participation in DR initiatives.