Finding the creatures of habit: clustering households based on their flexibility in using electricity

QR Code

Finding the creatures of habit: clustering households based on their flexibility in using electricity

Changes in the UK electricity market, particularly with the roll out of smart meters, will provide greatly increased opportunities for initiatives intended to change households' electricity usage patterns for the benefit of the overall system. Users show differences in their regular behaviours...

Full description

Bibliographic Details
Main Authors:	Dent, Ian, Craig, Tony, Aickelin, Uwe, Rodden, Tom
Format:	Conference or Workshop Item
Published:	2012
Subjects:	Electricity Load Profiles Clustering Flexibility Demand Side Management
Online Access:	https://eprints.nottingham.ac.uk/34127/

Similar Items

An approach for assessing clustering of households by electricity usage
by: Dent, Ian, et al.
Published: (2012)

Design and performance evaluation of a flexible clustering and allocation scheme for parallel processing.
by: Chingchit, Soontorn
Published: (1999)

Shakedown analysis and design of flexible road pavements under moving surface loads
by: Wang, Juan
Published: (2011)

A method for evaluating options for motif detection in electricity meter data
by: Dent, Ian, et al.
Published: (2018)

Smart demand side management of low-voltage distribution networks using multi-objective decision making
by: Shahnia, Farhad, et al.
Published: (2012)

Stresses and deformations in flexible layered pavement systems subjected to dynamic loads
by: Brown, S.F.
Published: (1967)

Voltage regulation, power balancing and battery storage discharge control by smart demand side management and multi-objective decision making
by: Shahnia, Farhad, et al.
Published: (2013)

Variability of behaviour in electricity load profile clustering: who does things at the same time each day?
by: Dent, Ian, et al.
Published: (2014)

A generalised model of electrical energy demand from small household appliances
by: Sancho-Tomás, A., et al.
Published: (2017)

Application of a clustering framework to UK domestic electricity data
by: Dent, Ian, et al.

Public perceptions of demand side management and a smarter energy future
by: Spence, Alexa, et al.
Published: (2015)

The prediction of permanent deformation in flexible pavements
by: Bell, C.A.
Published: (1978)

The design and control of mine refrigeration systems
by: Howes, Michael
Published: (1992)

Indebted households profiling: a knowledge discovery from database approach
by: Scarpel, Rodrigo, et al.
Published: (2015)

Creating personalised energy plans: from groups to individuals using Fuzzy C Means Clustering
by: Dent, Ian, et al.

Flexible Working in BT: An investigation into Motivation, Productivity and Job Satisfaction
by: Harford, Anthony David
Published: (2006)

Returning to work after maternity leave: Childcare and workplace flexibility
by: Nowak, Margaret, et al.
Published: (2012)

Sustainable Use of Crushed Concrete Waste for Thin Flexible Pavement
by: Siripun, Komsun, et al.
Published: (2012)

Investigating the impact of varying the number of distributed energy resources on controlling the power flow within a microgrid
by: Fazeli, Amir, et al.
Published: (2015)

Demand-side response model to avoid spike of electricity price
by: Marwan, M., et al.
Published: (2014)

Adaptive power flow control for reducing peak demand and maximizing renewable energy usage
by: Pholboon, Seksak, et al.
Published: (2017)

Community power flow control for peak demand reduction and energy cost savings
by: Pholboon, Seksak, et al.
Published: (2017)

An improved leader particle swarm optimisation algorithm for solving flexible ac transmission systems optimisation problem in power system
by: Jordehi, Ahmad Rezaee
Published: (2014)

Blending students’ feedback in flexible teaching-learning
by: Anwar, Faisal
Published: (2013)

Procurement flexibility for competitive advantages
by: Jeeva, Ananda
Published: (2004)

Evaluation of flexible route bus transport for older people
by: Broome, K., et al.
Published: (2012)

Improving Flexibility in Manufacturing Using a Family Ordering System for Long Lead Time Component
by: Ooi, Chee Keong
Published: (2005)

Hybrid dynamic scheduling model for flexible manufacturing system with machine availability and new job arrivals
by: Paslar, Shahla
Published: (2015)

Value Stream Mapping and Flexible Manufacturing at Crown Holdings INC
by: Fraser, Dougal
Published: (2005)

Ultimate design of unbound granular base courses for flexible pavements
by: Jitsangiam, Peerapong, et al.
Published: (2011)

Finding Funding for Executive Education and Research: Ten Key Principles
by: Wardale, Dorothy, et al.
Published: (2012)

The application of a data mining framework to energy usage profiling in domestic residences using UK data
by: Dent, Ian, et al.
Published: (2011)

A comparison between austroads pavement structural design and AASHTO design in flexible pavement
by: Ghadimi, Behzad, et al.
Published: (2013)

Measuring player’s behaviour change over time in public goods game
by: Fattah, Polla, et al.
Published: (2016)

Supply chain flexibility assessment by multivariate regression and neural networks
by: Jeeva, Ananda, et al.
Published: (2010)

Supply chain flexibility assessment by multivariate regression and neural networks
by: Jeeva, Ananda, et al.
Published: (2010)

Impact of DC-link fault on the dynamic performance of DFIG
by: Yunus, A., et al.
Published: (2012)

Infall and accretion of substructure in hydrodynamical simulations of galaxy clusters
by: Haggar, Roan
Published: (2022)

Flexible Employment, Flexible Eating and Health Risks
by: Dixon, Jane, et al.
Published: (2014)

Importance of Supply Chain Flexibility Dimensions Rated by Industry
by: Jeeva, Ananda, et al.
Published: (2012)