Building-to-grid predictive power flow control for demand response and demand flexibility programs

Author:

Razmara M.,Bharati G.R.,Hanover Drew,Shahbakhti M.,Paudyal S.,Robinett R.D.

Funder

US National Science Foundation

Richard and Elizabeth Henes Professorship of Mechanical Engineering at Michigan Technological University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference48 articles.

1. DR-Advisor: a data-driven demand response recommender system;Behl;Appl Energy,2016

2. PJM Interconnection LLC (PJM). PJM response to consumer reports on 2014 winter pricing. [accessed on December 8th, 2016].

3. Predictive control of residential hvac and its impact on the grid. Part I: Simulation framework and models;Corbin;J Build Perform Simul,2016

4. Benefits of demand response in electricity markets and recommendations for achieving them. Technical report to the United States Congress. US Department of Energy (DOE); 2006.

5. Bronski P, Dyson M, Lehrman M, Mandel J, Morris J, Palazzi T, et al. The economics of demand flexibility. Technical report. RMI Rocky Mountain Institute; 2015.

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