IEEE

Statistical Forecasting of Short-term Electricity Load Using a Meteorological Feature-driven Deep Learning Fusion Framework

Abstract: It is crucial to precisely forecast the power load to achieve efficient resource distribution and cost control. The current work introduces a deep learning (DL) driven fusion framework for ...
GitHub

Updates to reflect recent changes with the Azure AI extension and PostgreSQL extension in VS Code #24

Write-Host "Uploading Sample Files to Blob Storage..." # Write-Host "Uploading Sample Files to Blob Storage..." # az storage blob upload ` # --auth-mode login ` Expand Down Expand Up @@ -168,7 +168,7 ...
IEEE

Threshold-Free Event Detection for Nonintrusive Load Monitoring Using Motif Difference Field Images and Convolutional Neural Networks

Abstract: Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system ...
GitHub

Smart Meter Web Analytics

This project demonstrates how smart meter interval data stored in PostgreSQL can be transformed into a full analytics workflow and exposed through a FastAPI backend for web applications.