Energy management systems: state of the art and emerging trends

The electric grid is radically evolving and transforming into the smart grid, which is characterized by improved energy efficiency and manageability of available resources. Energy management (EM) systems, often integrated with home automation systems, play an important role in the control of home energy consumption and enable increased consumer participation. These systems provide consumers with information about their energy consumption patterns and help them adopt energy-efficient behavior. The new generation EM systems leverage advanced analytics and communication technologies to offer consumers actionable information and control features, while ensuring ease of use, availability, security, and privacy. In this article, we present a survey of the state of the art in EM systems, applications, and frameworks. We define a set of requirements for EM systems and evaluate several EM systems in this context. We also discuss emerging trends in this area.

[1]  John D. Claxton,et al.  Consumer Energy Research: A Review , 1981 .

[2]  Mark Weiser The computer for the 21st Century , 2002 .

[3]  Corinna Fischer Feedback on household electricity consumption: a tool for saving energy? , 2008 .

[4]  Geraldine Fitzpatrick,et al.  Technology-Enabled Feedback on Domestic Energy Consumption: Articulating a Set of Design Concerns , 2009, IEEE Pervasive Computing.

[5]  Elgar Fleisch,et al.  Handy feedback: connecting smart meters with mobile phones , 2009, MUM.

[6]  Mani B. Srivastava,et al.  ViridiScope: design and implementation of a fine grained power monitoring system for homes , 2009, UbiComp.

[7]  Jon E. Froehlich,et al.  The design of eco-feedback technology , 2010, CHI.

[8]  Robert S. Brewer,et al.  WattDepot: An Open Source Software Ecosystem for Enterprise-Scale Energy Data Collection, Storage, Analysis, and Visualization , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[9]  Guang-Hua Yang,et al.  Energy Management System and Pervasive Service-Oriented Networks , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[10]  Johnny Rodgers,et al.  Chasing the Negawatt: Visualization for Sustainable Living , 2010, IEEE Computer Graphics and Applications.

[11]  Joseph A. Paradiso,et al.  Guest Editors' Introduction: Smart Energy Systems , 2011, IEEE Pervasive Computing.

[12]  Yogesh L. Simmhan,et al.  Toward data-driven demand-response optimization in a campus microgrid , 2011, BuildSys '11.

[13]  Adrian Friday,et al.  Look Back before Leaping Forward : Four Decades of Domestic-Energy Inquiry , 2022 .

[14]  Viktor K. Prasanna,et al.  Semantic Information Integration for Smart Grid Applications , 2011 .

[15]  Richard Medland,et al.  Smart Energy Systems , 2011, IEEE Pervasive Computing.

[16]  Richard Medland,et al.  Connecting people and resource consumption in real time , 2011 .

[17]  Qi Liu,et al.  Domesticating Energy-Monitoring Systems: Challenges and Design Concerns , 2011, IEEE Pervasive Computing.

[18]  Stamatis Karnouskos,et al.  Crowdsourcing information via mobile devices as a migration enabler towards the SmartGrid , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).