Data-Driven Methods for a New National Household Energy Survey

Goddard, Nigel (Principal Investigator)

Project Details

Status	Finished
Effective start/end date	31/12/14 → 30/06/18

Funding

EPSRC: £745,194.00

2 Conference contribution
2 Article

Inferring room-level use of domestic space heating from room temperature and humidity measurements using a deep, dilated convolutional network
Berliner, N., Pullinger, M. & Goddard, N., 27 Apr 2021, In: MethodsX. 8, 14 p., 101367.
Research output: Contribution to journal › Article › peer-review

Open Access
File
The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes
Pullinger, M., Kilgour, J., Goddard, N., Berliner, N., Webb, L., Dzikovska, M., Lovell, H., Mann, J., Sutton, C., Webb, J. & Zhong, M., 28 May 2021, In: Scientific Data. 8, 1, 18 p., 146.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Sequence-to-Point Learning with Neural Networks for Non-Intrusive Load Monitoring
Zhang, C., Zhong, M., Wang, Z., Goddard, N. & Sutton, C., 7 Feb 2018, Proceedings for Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). New Orleans, Louisiana, USA: AAAI Press, p. 2604-2611 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File