Junchen Liu

7PUBLICATIONS
4CO-AUTHORS
Signal processingDeep learningSemi- and unsupervised learningElectrical energy transmission, networks and systemsGeospatial information systems and geospatial data modelling
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (7)

|Jun 26, 2026
Empirical evaluation of feature processing strategies in deep residual networks for short-term load forecasting: a Malaysian tropical power system case study.

|Jun 18, 2026
Deep residual networks for short-term load forecasting: an empirical study on the impact of network depth.

|May 26, 2026
Understanding the influence of training schedules on short-term load forecasting via deep residual networks: An empirical study.

|May 06, 2026
Loss functions in deep residual networks for short-term load forecasting: a systematic analysis.

|Mar 26, 2026
A comparative evaluation of gradient-based optimization algorithms for short-term load forecasting using deep residual networks.

Junchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin

|Mar 26, 2026
Mini-batch size sensitivity in deep residual networks for short-term load forecasting: an empirical study.

Junchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin

Pageof 2

Frequent Collaborators

7 joint publications

Khairulmizam Samsudin

7 joint publications

Khairulmizam Samsudin

7 joint publications

Mohd Zainal Abidin Ab Kadir

6 joint publications

Fazirulhisyam Hashim