A personalised thermal comfort model using a Bayesian network
In this paper, we address the challenge of predicting optimal comfort temperatures of
individual users of a smart heating system. At present, such systems use simple models of …
individual users of a smart heating system. At present, such systems use simple models of …
Resilient upgrade of electrical distribution grids
Modern society is critically dependent on the services provided by engineered infrastructure
networks. When natural disasters (eg Hurricane Sandy) occur, the ability of these networks …
networks. When natural disasters (eg Hurricane Sandy) occur, the ability of these networks …
A comfort-based approach to smart heating and air conditioning
In this article, we address the interrelated challenges of predicting user comfort and using
this to reduce energy consumption in smart heating, ventilation, and air conditioning (HVAC) …
this to reduce energy consumption in smart heating, ventilation, and air conditioning (HVAC) …
It is too hot: An in-situ study of three designs for heating
Smart energy systems that leverage machine learning techniques are increasingly
integrated in all aspects of our lives. To better understand how to design user interaction …
integrated in all aspects of our lives. To better understand how to design user interaction …
[PDF][PDF] Batch reinforcement learning for smart home energy management
H Berlink, AHR Costa - Twenty-Fourth International Joint Conference on …, 2015 - ijcai.org
Smart grids enhance power grids by integrating electronic equipment, communication
systems and computational tools. In a smart grid, consumers can insert energy into the …
systems and computational tools. In a smart grid, consumers can insert energy into the …
[PDF][PDF] Adaptive home heating under weather and price uncertainty using GPs and MDPs
M Shann, S Seuken - Proceedings of the 2014 international conference …, 2014 - ifaamas.org
We consider the problem of adaptive home heating in the smart grid, assuming that real-time
electricity prices are being exposed to end-users with the goal of realizing demand-side …
electricity prices are being exposed to end-users with the goal of realizing demand-side …
Designing resilient electrical distribution grids
Modern society is critically dependent on the services provided by engineered infrastructure
networks. When natural disasters (eg Hurricane Sandy) occur, the ability of these networks …
networks. When natural disasters (eg Hurricane Sandy) occur, the ability of these networks …
Algorithms and applications for the same-decision probability
When making decisions under uncertainty, the optimal choices are often difficult to discern,
especially if not enough information has been gathered. Two key questions in this regard …
especially if not enough information has been gathered. Two key questions in this regard …
AI legitimacy for sustainability
C NICODEME - 2021 IEEE conference on technologies for …, 2021 - ieeexplore.ieee.org
Sustainability is a vast subject involving various research areas. Emerging technologies,
through their development and the possibilities they offer, impact sustainability. In particular …
through their development and the possibilities they offer, impact sustainability. In particular …
Log it while it's hot: Designing human interaction with smart thermostats for shared work environments
Smart thermostats offer impressive scope for adapting to users' thermal comfort preferences
and saving energy in shared work environments. Yet human interactions with smart …
and saving energy in shared work environments. Yet human interactions with smart …