Cikkek nyilvánosan hozzáférhető megbízással - Nigel GoddardTovábbi információ
Valahol hozzáférhető: 13
Sequence-to-point learning with neural networks for non-intrusive load monitoring
C Zhang, M Zhong, Z Wang, N Goddard, C Sutton
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Megbízások: UK Engineering and Physical Sciences Research Council
Signal aggregate constraints in additive factorial HMMs, with application to energy disaggregation
M Zhong, N Goddard, C Sutton
Advances in Neural Information Processing Systems 27, 2014
Megbízások: UK Engineering and Physical Sciences Research Council
The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes
M Pullinger, J Kilgour, N Goddard, N Berliner, L Webb, M Dzikovska, ...
Scientific Data 8 (1), 146, 2021
Megbízások: UK Engineering and Physical Sciences Research Council
Latent Bayesian melding for integrating individual and population models
M Zhong, N Goddard, C Sutton
Advances in neural information processing systems 28, 2015
Megbízások: UK Engineering and Physical Sciences Research Council
Co-designing a device for behaviour-based energy reduction in a large organisation
E Morgan, L Webb, K Carter, N Goddard
Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-23, 2018
Megbízások: UK Engineering and Physical Sciences Research Council
Domestic heating behaviour and room temperatures: Empirical evidence from Scottish homes
M Pullinger, N Berliner, N Goddard, D Shipworth
Energy and Buildings 254, 111509, 2022
Megbízások: UK Engineering and Physical Sciences Research Council
Bayesian optimisation for active monitoring of air pollution
SP Hellan, CG Lucas, NH Goddard
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11908 …, 2022
Megbízások: UK Engineering and Physical Sciences Research Council
Capturing variation in daily energy demand profiles over time with cluster analysis in British homes (September 2019–August 2022)
M Pullinger, E Zapata-Webborn, J Kilgour, S Elam, J Few, N Goddard, ...
Applied Energy 360, 122683, 2024
Megbízások: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
A Living Lab Co-Creational Approach To Energy Demand Reduction in Non-Domestic Buildings: Understanding the Organisation
L Webb, E Morgan, C Carter, J Webb, N Goddard
4th European Conference on Behaviour and Energy Efficiency, 2016
Megbízások: UK Engineering and Physical Sciences Research Council
Inferring room-level use of domestic space heating from room temperature and humidity measurements using a deep, dilated convolutional network
N Berliner, M Pullinger, N Goddard
MethodsX 8, 101367, 2021
Megbízások: UK Engineering and Physical Sciences Research Council
Co-designing innovations for energy saving in large organisations
E Morgan, L Webb, N Goddard, J Webb, K Carter
Proceedings of the 2017 ACM Conference Companion Publication on Designing …, 2017
Megbízások: UK Engineering and Physical Sciences Research Council
Enhancing Access to Affordable Energy through Peer-to-Peer Automated Negotiations
B Couraud, V Robu, M Andoni, S Norbu, L Franken, C Paolo, L Webb, ...
2024 International Conference on Renewable Energies and Smart Technologies …, 2024
Megbízások: UK Engineering and Physical Sciences Research Council
Local Energy Markets in Energy Communities and Their Impact on Energy Poverty
M Andoni, B Couraud, V Robu, S Norbu, D Flynn, P Cherubini, L Franken, ...
2024 International Conference on Renewable Energies and Smart Technologies …, 2024
Megbízások: UK Engineering and Physical Sciences Research Council
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