Abstract: Kubernetes offers automatic scaling; however, the accuracy of predicting resource requirements remains a challenge in dynamic workload environments. This research proposes LSTM to predict ...
⚠️ This repository is archived. While the server setup and configuration remain unchanged, the Python code (SQLAlchemy patterns, repositories, services) is periodically revised as better approaches ...
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 ...
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.