Sensorization and Intelligent Systems in Energetic Sustainable Environments

Sustainability is an important topic of discussion in our world. However, measuring sustainability and assessing behaviors is not always easy. Indeed, and in order to fulfill this goal, in this work it will be proposed a multi-agent based architecture to measure and assess sustainable indicators taken from a given environment. These evaluations will be based on past and present behaviors of the users and the particularities of the setting, leading to the evaluation of workable indicators such as gas emissions, energetic consumption and the users fitting with respect to the milieu. Special attention is given to user interaction and user attributes to calculate sustainable indicators for each type of structure, i.e., the aim of this scheme is to promote sustainability awareness and sustainable actions through the use of sustainable markers calculated in terms of the information gathered from the environment.

[1]  He Jian,et al.  Modeling the Ambient Intelligence Application System: Concept, Software, Data, and Network , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[2]  Hani Hagras,et al.  An Incremental Adaptive Life Long Learning Approach for Type-2 Fuzzy Embedded Agents in Ambient Intelligent Environments , 2007, IEEE Transactions on Fuzzy Systems.

[3]  Manuel Filipe Santos,et al.  Evolutionary intelligence in asphalt pavement modeling and quality-of-information , 2011, Progress in Artificial Intelligence.

[4]  A. Dahl Achievements and gaps in indicators for sustainability , 2012 .

[5]  Waleed H. Abdulla,et al.  Ambient intelligence platform using multi-agent system and mobile ubiquitous hardware , 2009, Pervasive Mob. Comput..

[6]  K. Ducatel,et al.  Scenarios for Ambient Intelligence in 2010 Final Report , 2001 .

[7]  Juan Carlos Augusto,et al.  Learning patterns in ambient intelligence environments: a survey , 2010, Artificial Intelligence Review.

[8]  Bill N. Schilit,et al.  Context-aware computing applications , 1994, Workshop on Mobile Computing Systems and Applications.

[9]  Gediminas Adomavicius,et al.  Context-aware recommender systems , 2008, RecSys '08.

[10]  Rebecca E. Grinter,et al.  Getting to green: understanding resource consumption in the home , 2008, UbiComp.

[11]  Derek Clements-Croome,et al.  Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings , 2010 .

[12]  Saurabh Gupta,et al.  An overview of sustainability assessment methodologies , 2009 .