[KDD 2025] NILMFormer: A Sequence-To-Sequence Non-Stationarity Aware Transformer for Non-Intrusive Load Monitoring

Smart Meter Data Analytics Tutorial @ 11th International Conference on Learning Representations (ICLR 2023)

A Go application that periodically retrieves energy data from the geotogether.com API and stores it in an InfluxDB database.

[VLDB 2024] ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series

HEAPO – An Open Dataset for Heat Pump Optimization with Smart Electricity Meter Data and On-Site Inspection Protocols

Read smart meter values from a Kaifa MA309 (EVN/Netz NÖ) using a Raspberry Pi or Raspberry Pico W microcontroller

[ICDE 2025] CamAL: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series

Smart Meter Analytics Python - A Python implementation for analysis of energy consumption data (electricity, gas, water) at different data measurement intervals. The package provides feature extraction methods and algorithms to prepare data for data mining and machine learning applications

Code used to process the SERL datasets prior to release via the UKDS

This is part of the research work based on Smart Grid Cyber ​​Threat Intelligence (SG-CTI). The research paper of this work is under review in the journal. Detailed information about this work will be provided after it is published in the journal. Research Grant: GUP-2023-010 (supported by the Ministry of Higher Education, Malaysia)

Utility-focused k-means clustering project using real Advanced Metering Infrastructure (AMI) data to segment smart meters by load behavior, voltage stability, and frequency characteristics. The project demonstrates how unsupervised learning can support outage risk identification, asset health monitoring, and proactive grid operations.

Code to analyse the efficacy of the different SERL recruitment methods in enhancing response rates.

Code for a scientific publication about co-clustering smart heat meter data