Fetching the paper…
Reading the bibliography…
Demand response aims to stimulate electricity consumers to modify their loads at critical time periods.
T. S. Ferguson, “A method of generating best asymptotically normal estimates with application to the estimation of bacterial densities,” The Annals of Mathematical Statistics , pp. 1046–1062, 1958
1958
Earlier work this paper cites.
M. G. Kendall, The advanced theory of statistics . Wiley, 1998
1998
Earlier work this paper cites.
D. Crawley, C. Pedersen, L. Lawrie, and F. Winkelmann, “Energyplus: energy simulation program,” ASHRAE journal , vol. 42, no. 4, p. 49, 2000
2000
Earlier work this paper cites.
G. W. Imbens, “Nonparametric estimation of average treatment effects under exogeneity: A review,” Review of Economics and statistics , vol. 86, no. 1, pp. 4–29, 2004
2004
Earlier work this paper cites.
C. K. Woo and K. Herter, “Residential demand response evaluation: a scoping study,” Energy and Environmental Economics, Inc. and Lawrence Berkeley National Laboratory , 2006
2006
Earlier work this paper cites.
M. H. Albadi and E.-S. E. F., “Demand response in electricity markets: An overview,” in IEEE Power and Energy Society General Meeting . IEEE, 2007
2007
Earlier work this paper cites.
M. H. Albadi and E. F. El-Saadany, “A summary of demand response in electricity markets,” Electric power systems research , vol. 78, no. 11, pp. 1989–1996, 2008
2008
Earlier work this paper cites.
C. L. Su and D. Kirschen, “Quantifying the effect of demand response on electricity markets,” Power Systems, IEEE Transactions on , vol. 24, no. 3, pp. 1199–1207, 2009
2009
Earlier work this paper cites.
D. A. Freedman, Statistical models: theory and practice . Cambridge University Press, 2009
2009
Cited alongside, same era.
E. A. Stuart, “Matching methods for causal inference: A review and a look forward,” Statistical science: a review journal of the Institute of Mathematical Statistics , vol. 25, no. 1, pp. 1–29, 2010
2010
Cited alongside, same era.
P. Palensky and D. Dietrich, “Demand side management: Demand response, intelligent energy systems, and smart loads,” Industrial Informatics, IEEE Transactions on , vol. 7, no. 3, pp. 381–388, 2011
2011
Cited alongside, same era.
N. Li, L. Chen, and S. H. Low, “Optimal demand response based on utility maximization in power networks,” in IEEE Power and Energy Society General Meeting . IEEE, 2011
2011
Cited alongside, same era.
L. Qian, Y. A. Zhang, J. Huang, and Y. Wu, “Demand response management via real-time electricity price control in smart grids,” Selected Areas in Communications, IEEE Journal on , vol. 31, no. 7, pp. 1268–1280, 2013
2013
Later among the works it cites.
P. M. Aronow and J. A. Middleton, “A class of unbiased estimators of the average treatment effect in randomized experiments,” Journal of Causal Inference , vol. 1, no. 1, pp. 135–154, 2013
2013
Later among the works it cites.
P. Siano, “Demand response and smart grids:a survey,” Renewable and Sustainable Energy Reviews , vol. 30, pp. 461–478, 2014
2014
Later among the works it cites.
L. Tian, A. Alizadeh, A. Gentles, and R. Tibshirani, “A simple method for detecting interactions between a treatment and a large number of covariates,” Journal of the American Statistical Association , vol. 109, no. 508, pp. 1517–1532, 2014
2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2012
Cited alongside, same era.
Z. JR, “Using mixed integer programming for matching in an observational study of kidney failure after surgery,” Journal of the American Statistical Association , vol. 107, no. 500, pp. 1360–71, 2012
2012
Cited alongside, same era.
2012
Cited alongside, same era.
G. A. F. Seber and A. J. Lee, Linear regression analysis . John Wiley and Sons, 2012
2012
Cited alongside, same era.
D. Wang, X. Guan, J. Wu, P. Li, P. Zan, and H. Xu, “Integrated energy exchange scheduling for multimicrogrid system with electric vehicles,” Smart Grid, IEEE Transactions on, preprint , 2015
2015
Later among the works it cites.
Pecan Street, “Pecan street online database,” http://www.pecanstreet.org
2016
Later among the works it cites.
2017
Closest in time.
P. Li, B. Zhang, Y. Weng, and R. Rajagopal, “A sparse linear model and significance test for individual consumption prediction,” IEEE Transactions on Power Systems , vol. PP, no. 99, pp. 1–1, 2017
2017
Closest in time.