EDA and Time Series Stream Clustering for London Smart Meter Dataset, using Autoencoder with Kmeans algorithm, DB Scan, and Hierarchical Clustering algorithm.

An Open Source Grid Intelligence Platform for Everyone

Python library for domestic energy demand modeling

A simple tool for pre-labeling the image and classification

An energy analytics tool to make commercial building more energy efficient

Load Disaggregation Python Library

Predictability of electric vehicle charging: explaining extensive user behavior-specific heterogeneity

A pytorch implementation of the architecture of the proposed model Neural Fourier Energy Disaggregation (NFED) for the problem of non-intrusive load monitoring (NILM).

Supervised NILM using multiple-choice knapsack problem (MCKP).

Automatic Differentiation of Variable and Fixed Speed Heat Pumps With Smart Meter Data

General Integrated Modeling environment for the Supply of Electricity and Low-temperature heat