Jove
Visualize
Contact Us

Related Concept Videos

Modeling and Similitude01:12

Modeling and Similitude

252
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
252
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

144
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
144

You might also read

Related Articles

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

Sort by
Same author

Towards an Optimized Ensemble Feature Selection for DDoS Detection Using Both Supervised and Unsupervised Method.

Sensors (Basel, Switzerland)ยท2022
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: Jun 13, 2025

Synthesis of Hydrogels with Antifouling Properties As Membranes for Water Purification
07:32

Synthesis of Hydrogels with Antifouling Properties As Membranes for Water Purification

Published on: April 7, 2017

9.4K

HYDROSAFE: A Hybrid Deterministic-Probabilistic Model for Synthetic Appliance Profiles Generation.

Abdelkareem Jaradat1, Muhamed Alarbi1, Anwar Haque1

  • 1The Department of Computer Science, Western University, London, ON N6A 3K7, Canada.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
Summary
This summary is machine-generated.

HYDROSAFE generates realistic synthetic appliance power consumption data, addressing the scarcity of real-world datasets. This hybrid model enhances smart home energy management systems with accurate, data-driven insights.

Keywords:
HEMSsSHEMSsappliance operation modesdemand response (DR)dynamic time warping (DTW)load profile simulation

More Related Videos

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

4.4K
Synthesis of PolyN-isopropylacrylamide Janus Microhydrogels for Anisotropic Thermo-responsiveness and Organophilic/Hydrophilic Loading Capability
09:09

Synthesis of PolyN-isopropylacrylamide Janus Microhydrogels for Anisotropic Thermo-responsiveness and Organophilic/Hydrophilic Loading Capability

Published on: February 27, 2016

9.9K

Related Experiment Videos

Last Updated: Jun 13, 2025

Synthesis of Hydrogels with Antifouling Properties As Membranes for Water Purification
07:32

Synthesis of Hydrogels with Antifouling Properties As Membranes for Water Purification

Published on: April 7, 2017

9.4K
An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

4.4K
Synthesis of PolyN-isopropylacrylamide Janus Microhydrogels for Anisotropic Thermo-responsiveness and Organophilic/Hydrophilic Loading Capability
09:09

Synthesis of PolyN-isopropylacrylamide Janus Microhydrogels for Anisotropic Thermo-responsiveness and Organophilic/Hydrophilic Loading Capability

Published on: February 27, 2016

9.9K

Area of Science:

  • Energy Systems
  • Data Science
  • Artificial Intelligence

Background:

  • Realistic appliance power consumption data are crucial for smart home energy management systems and algorithms.
  • Existing publicly available datasets are limited and costly to acquire.
  • A need exists for efficient methods to generate high-fidelity synthetic power consumption data.

Purpose of the Study:

  • To propose HYDROSAFE, a novel hybrid deterministic-probabilistic model for generating synthetic appliance power consumption profiles.
  • To address the scarcity and time-consuming nature of collecting real-world power consumption data.
  • To enhance the development of smart home energy management systems through realistic synthetic data.

Main Methods:

  • Employed the Median Difference Test (MDT) for characterizing power consumption profiles.
  • Utilized Density and Dynamic Time Warping based Spatial Clustering for appliance operation modes (DDTWSC) to cluster appliance usage.
  • Integrated stochastic elements (white noise, switch-on surge, ripples, edge position) for enhanced realism.

Main Results:

  • The HYDROSAFE model successfully generated synthetic appliance power consumption profiles.
  • Evaluation using a normalized DTW-distance matrix demonstrated high fidelity.
  • Achieved an average DTW distance of ten samples at a 1Hz sampling frequency, indicating close mimicry of real-world data.

Conclusions:

  • HYDROSAFE effectively generates realistic synthetic appliance power consumption data.
  • The model's high fidelity supports its application in developing and testing smart home energy management systems.
  • This approach offers a viable solution for overcoming data limitations in the field.