Intelligent interactive system for collaborative green computing

Abstract

Designing an effective and efficient intelligent interactive system for energy conservation in domestic environment requires considerable deliberations on tradeoffs of meeting the criteria derived from human-machine interaction and reasoning mechanism, so the system can provide the users with right information based on right decisions at right time. In this paper, we report a mixed initiative intelligent system that employs multi-modal sensor system, context awareness model, semantics, and service-oriented architecture to provide real-time energy consumption information and recommendations for positive behaviour change on households' energy consumption. The system adopts concept of On-Line Analytical Process (OLAP) to summarise large volume of data generated from energy consumption monitoring sensors into a set of meaningful information for the intelligent system to reason. ServiceOriented Architecture (SOA) is used to model hardware and software components, so they can be composed flexibly to meet the user and system requests. The system is currently deployed in around 250 households across Europe for evaluation. Initial households' feedbacks are encouraging.

System design for passive human detection using principal components of the signal strength space

“…The most of the existing residential smart energy solutions have one important attribute in common: they rely on various sensor technologies and sensor networks, such as [1], [2], [5], [22], [23], [24], [25], [26]. Because of the important impact of sensor networks applications in smart home's environmental challenges, the authors of this paper have tried to make a synthesis between "RF sensor networks" and residential smart energy systems.…”