Multiagent Systems / Dependency Networks / GM / Control for Decentralised Demand Side Management / Location-Based Social Networks / /
Country
Jordan / United Kingdom / / /
Event
Environmental Issue / /
Facility
Sarvapali D. Ramchurn University of Southampton / Dependency Clustering Model Complex / /
Holiday
between day / /
IndustryTerm
home energy management systems / home energy usage / energy consumption activities / electricity / energy consumption / energy feedback systems / pervasive systems / location prediction services / electricity consumption / home energy management domain / shelf energy monitoring device / aggregated energy consumption / nearest best algorithm / electricity costs / web browser / source web data / Web interaction data streams / machinery / energy usage activities / energy management system / energy management / benchmark algorithms / prediction algorithms / social networks / prediction algorithm / side management algorithms / intelligent home energy management systems / energy usage / /
Organization
Royal Statistical Society / Agents and Artificial Intelligence / Low Carbon Society / American Statistical Association / Web Intelligence / Department of Energy / University of Southampton / /
Person
Enrico Costanza / James McInerney / C. Mascolo / V / Ishwaran / /
Position
Bishop / using forward / dishwasher / /
Product
Pentax K-x Digital Camera / /
PublishedMedium
Journal of the Royal Statistical Society / Machine Learning / Journal of Machine Learning Research / Journal of the American Statistical Association / /
Forecasting Multi-Appliance Usage for Smart Home Energy Management Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza and Sarvapali D. Ramchurn University of Southampton, UK. {nct1g10, jem1c10, ltt08r,