A curated resources of awesome NILM resources
A curated list of NILM (also known as Energy Disaggregation or Load Disaggregation) resources. Inspired by awesome-deep-vision, awesome-public-datasets, awesome-adversarial-machine-learning, awesome-deep-learning-papers, awesome-meta-learning and awesome-architecture-search.
Curation of papers is generally based on the recent publication in top AI conferences (NeurIPS, ICML, ICLR, AAAI, KDD, etc.) or the impactfulness on NILM domain. But the criteria is not strict. Please feel free to pull requests or open an issue if you know awesome NILM resources.
To the extent possible under law, Changho Shin has waived all copyright and related or neighboring rights to this work.