SU WUTYI HNIN

Japan Advanced Institute of Science and Technology

Fujimidai

Nerima, Tokyo, 1770034

Japan

Thammasat University - Sirindhorn International Institute of Technology

Thailand

SCHOLARLY PAPERS

1

DOWNLOADS

23

TOTAL CITATIONS

1

Ideas:
“  I am currently working in Optimization and Machine Learning for Load Forecasting and Energy-Saving Behavior in the Workplace. My work focuses on developing predictive models to optimize energy consumption and exploring ways to encourage sustainable energy practices among employees. By integrating advanced technologies with behavioral insights, I aim to contribute to a more efficient and sustainable energy future.  ”

Scholarly Papers (1)

1.

A Hybrid K-Means and Knn Approach for Enhanced Short-Term Load Forecasting Incorporating Holiday Effects

Number of pages: 22 Posted: 23 Jul 2024
Japan Advanced Institute of Science and Technology, National Science and Technology Development Agency (NSTDA) - National Electronics and Computer Technology Center, Japan Advanced Institute of Science and Technology and Thammasat University - Sirindhorn International Institute of Technology
Downloads 23 (1,120,688)
Citation 1

Abstract:

Loading...

Short-term load forecasting (STLF), K-means clustering, K-Nearest Neighbors (KNN) classification, Long Short-Term Memory (LSTM)