Dynamic Control of Proclivity toward Selling Electricity Using Persuasive Dialogue System

This paper proposes an electricity market model comprising farm owners, an electricity company, and a persuasive dialogue system, to dynamically adjust electricity price by controlling owners’ proclivity toward selling their electricity. Several numerical examples confirm that the proposed model facilitates price adjustment.

[1]  Pontus Wärnestål,et al.  User Evaluation of a Conversational Recommender System , 2005, IJCAI 2005.

[2]  Na Li,et al.  Two Market Models for Demand Response in Power Networks , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[3]  Kenji Araki,et al.  A Casual Conversation System Using Modality and Word Associations Retrieved from the Web , 2008, EMNLP.

[4]  Kenji Hirata,et al.  Integration mechanisms for LQ energy day-ahead market based on demand response , 2014, 2014 IEEE Conference on Control Applications (CCA).

[5]  Jiming Chen,et al.  A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches , 2015, IEEE Transactions on Industrial Informatics.

[6]  V. G. Agelidis,et al.  Improving Wind Farm Dispatch in the Australian Electricity Market With Battery Energy Storage Using Model Predictive Control , 2013, IEEE Transactions on Sustainable Energy.

[7]  Philip A. Fedora,et al.  Summer 2001 northeast load response initiatives' reliability impacts , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[8]  Tomoki Toda,et al.  Dialogue management for leading the conversation in persuasive dialogue systems , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

[9]  T. Taniguchi,et al.  Convergent Double Auction Mechanism for a Prosumers’ Decentralized Smart Grid , 2015 .

[10]  Masahiro Ono,et al.  Risk-limiting, market-based power dispatch and pricing , 2013, 2013 European Control Conference (ECC).

[11]  Sarvapali D. Ramchurn,et al.  Agent-based homeostatic control for green energy in the smart grid , 2011, TIST.

[12]  J. Doudna Overview of California ISO summer 2000 demand response programs , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[13]  Anna Scaglione,et al.  Demand-Side Management in the Smart Grid: Information Processing for the Power Switch , 2012, IEEE Signal Processing Magazine.

[14]  Lasse Natvig,et al.  Cost-comfort balancing in a smart residential building with bidirectional energy trading , 2015, 2015 Sustainable Internet and ICT for Sustainability (SustainIT).