nilmtk_readings

Repos

1. https://github.com/nilmtk/nilmtk --main repo

2. https://github.com/minhup/Energy-Disaggregation --- used many techniques ---REDD dataset

3. https://github.com/OdysseasKr/neural-disaggregator ---deep-learning methods

4. https://github.com/OdysseasKr/online-nilm ---discription not-known

5. https://github.com/JackKelly/neuralnilm ---original implemetation of paper NeuralNILM.

6. https://github.com/MingjunZhong/NeuralNetNilm --- Implementation of seq-to-point paper

7. https://github.com/pipette/Electricity-load-disaggregation ---FHMM without NILMTK

Dataset:

1. UK-DALE http://jack-kelly.com/data/ ---very big data

2. REDD http://redd.csail.mit.edu/ --but requires password and id ( id/password : redd/disaggregatetheenergy)

3. iAWE http://iawe.github.io/ . --Indian data for 73 days collected in Delhi.

Papers:

1. https://arxiv.org/pdf/1507.06594.pdf --Neural NILM: Deep Neural Networks Applied to Energy Disaggregation (main paper)

2. https://dl.acm.org/citation.cfm?doid=3200947.3201011 ---Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks

3. https://arxiv.org/pdf/1612.09106v3.pdf --- Sequence-to-point learning with neural networks for non-intrusive load monitoring

4. https://www.researchgate.net/publication/324250715_Home_Appliance_Identification_for_Nilm_Systems_Based_on_Deep_Neural_Networks ---Used CNN--

5. http://nilmworkshop.org/2018/proceedings/Paper_ID19.pdf ---Best Paper of NILM2018 ---single load detection

6. https://www.iiitd.ac.in/sites/default/files/docs/phdthesis/batra_thesis.pdf --- Batra Thesis

7. http://makonin.com/doc/ICASSP_2019.pdf ---Real time NILM

8. https://www.zyax.se/blog/nilm/ This is an introductory Blog for NILM. Have some papers in reference

9. http://makonin.com/doc/TSG_2015.pdf ---Implementation of sparse coding and FHMM (Thesis available)

10. https://energyinformatics.springeropen.com/track/pdf/10.1186/s42162-018-0038-y ---- Application of GAN

11. http://journals.tubitak.gov.tr/elektrik/issues/elk-18-26-2/elk-26-2-13-1705-262.pdf --- Harmonics

Intresting Readings

1. http://makonin.com/doc/TCAS2_2019.pdf ---power usage forecasting

Thesis: