2012 - IEEE SmartGridComm Symposium on Demand Side Management, Demand Response, Dynamic Pricing

Several pilot projects have shown that the potential of demand-side management (DSM), demand response (DR), and dynamic pricing goes well beyond the smart meter solutions as such. DR, or the ability to dynamically adjust current or future electricity load, in response to price signals, therefore covers the entire chain from the energy market dynamics (on-line price signals) to the inside intelligence of the household appliances. Alternatively, DSM allows the potential shaping or load balancing of energy resources via dynamic pricing.

This symposium will ideally focus on research and innovation results integrating these three interdependent pieces of demand side management, demand response and dynamic pricing. DR strategies will be effective if they succeed in optimally integrating the smart metering infrastructure and if they incorporate the flexibility to control a large variety of end-use appliances. The strategies could be implemented at a variety of scales, ranging from individual customers and community aggregators to utility and grid level. An optimal data management and data exchange balance needs to be achieved between central, local (customer) and appliance level. The in-home intelligence system will require an interaction between smart meter owners (e.g., grid operators), in home gateways (e.g., IT providers) and end-use appliances (e.g., white good manufacturers). And finally the role of the end-user is essential. Intelligent DR systems must take end-user preferences into consideration, along with pricing signals, in making demand responsive choices.

Topics of Particular Interest

The symposium aims to focus on theoretical, experimental and proof-of-concept results of research and innovation activities where data from smart meters, demand side management design, demand response strategies and dynamic pricing are integrated.

Topics of interest include, but are not limited to:

Intelligence from grid to in-home appliances
Automated DR Algorithms to Match Supply and Demand
Information Infrastructure Required to Support Demand Response Mechanisms
Electric Home Appliances/(Renewable) Generators with Embedded Intelligence
DSM, DR Experiences and Experimental Outcomes
Market models with multi-stakeholder involvement/active end-users
Dynamic Pricing Models
Integration of Demand Response to Wholesale Electricity Markets
Incentive-Based vs. Punitive Pricing, Energy Profiles and Demand Response
Predicting and Impacting End-User Load Profiles
Impact Studies of DR Strategies on Consumer Energy Behavior
DR Capabilities in Consumer and Industrial Appliances
Security, Authentication and Privacy in DR and Smart Metering