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: Mar 27, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.1K

A comparative evaluation of gradient-based optimization algorithms for short-term load forecasting using deep

Junchen Liu1, Faisul Arif Ahmad2, Khairulmizam Samsudin1

  • 1Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), Serdang, 43400, Selangor, Malaysia.

Scientific Reports
|March 26, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Deep residual networksGradient-based optimization algorithmsMeteorological feature representationPrincipal component analysisShort-term load forecasting

Related Experiment Videos

Last Updated: Mar 27, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.1K

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Empirical evaluation of feature processing strategies in deep residual networks for short-term load forecasting: a Malaysian tropical power system case study.

Scientific reports·2026
Same author

Deep residual networks for short-term load forecasting: an empirical study on the impact of network depth.

Scientific reports·2026
Same author

Understanding the influence of training schedules on short-term load forecasting via deep residual networks: An empirical study.

Scientific reports·2026
Same author

Loss functions in deep residual networks for short-term load forecasting: a systematic analysis.

Scientific reports·2026
Same author

Mini-batch size sensitivity in deep residual networks for short-term load forecasting: an empirical study.

Scientific reports·2026
Same author

A novel parametric scaled exponential linear unit activation function for deep residual networks in short-term load forecasting.

Scientific reports·2026
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
See all related articles