Statistical analysis of baseline load models for non-residential buildings

Energy and Buildings

Volumn 41, Issue 4, 2009, Pages 374-381

  Coughlin, Katie ^a   Piette, Mary Ann ^a   Goldman, Charles ^a   Kiliccote, Sila ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

Baseline load profile; Demand response; Impacts estimation

Indexed keywords

OFFICE BUILDINGS;

BASELINE LOAD PROFILE; BASELINE MODELS; BUILDING LOADS; CALIFORNIA; COMMERCIAL BUILDINGS; DEMAND RESPONSE; DEMAND RESPONSE PROGRAMS; IMPACTS ESTIMATION; LOAD DATUM; LOAD MODELS; MODEL FITS; POLICY-MAKERS; RESIDENTIAL BUILDINGS; STATISTICAL ANALYSIS; STATISTICAL EVALUATIONS; WEATHER EFFECTS; WEATHER SENSITIVITIES;

ESTIMATION;

EID: 61349139932     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2008.11.002     Document Type: Article

References (14)

1. FERC Staff Report, Assessment of Demand Response and Advanced Metering, Docket Number AD-06-2-000, Aug 2006.
2. California Public Utilities Commission, Order Instituting Rulemaking Regarding Policies and Protocols for Demand Response Load Impacts Estimates, Cost-Effectiveness Methodologies, Megawatt Goals and Alignment with California Independent System Operator Market Design Protocols, OIR-07-01-041, January 2007.
3. K. Coughlin, M.A. Piette, C.A. Goldman, S. Kilicotte, Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings in California, Lawrence Berkeley National Laboratory, LBNL-63728, Berkeley CA, 2008, Available at http://drrc.lbl.gov/drrc-pubsall.html.
4. M.A. Piette, D.S. Watson, N. Motegi, S. Kilicotte, P. Xu, Automated Critical Peak Pricing Field Tests: Program Description and Results, Lawrence Berkeley National Laboratory, LBNL-59351, Berkeley, CA, 2006, Available at http://drrc.lbl.gov/drrc-pubsall.html.
5. M.A. Piette, D.S. Watson, N. Motegi, S. Kilicotte, Automated Critical Peak Pricing Field Tests: 2006 Pilot Program Description and Results, Lawrence Berkeley National Laboratory, LBNL-62218, Berkeley, CA, 2007, Available at http://drrc.lbl.gov/drrc-pubsall.html.
6. M.L. Goldberg, G. Kennedy Agnew, Protocol Development for Demand-Response Calculations: Findings and Recommendations, KEMA-Xenergy, CEC 400-02-017F, 2003.
7. Working Group 2 Demand Response Program Evaluation-Program Year 2004 Final Report, Quantum Consulting Inc. and Summit Blue Consulting, LLC, 2004.
8. Evaluation of 2005 Statewide Large Nonresidential Day-ahead and Reliability Demand Response Programs, Quantum Consulting Inc. and Summit Blue Consulting, LLC, 2006.
9. National Oceanic and Atmospheric Administration, National Climatic Data Center, http://www.ncdc.noaa.gov/oa/ncdc.html.
10. California Department of Water Resources, California Irrigation Management Information System, http://www.cimis.water.ca.gov/cimis/welcome.jsp.
11. Press W.H., Flannery B.P., Teukolsky S.A., and William T. Vetterling. Numerical Recipes in FORTRAN 77 (1992), Cambridge University Press
12. Kozikowski D., Breidenbaugh A., and Potter M. The Demand Response Baseline, v.1.75 (2006), EnerNOC OPS Publication
13. A. Buege, M. Rufo, M. Ozog, D. Violette, S. McNicoll, Prepare for Impact: Measuring Large C/I Customer Response to DR Programs, ACEEE Summer Study on Energy Efficiency in Buildings, Monterey, CA, August 2006.
14. N. Motegi, M.A. Piette, D.S. Watson, S. Kilicotte, P. Xu, Introduction to Commercial Building Control Strategies and Techniques for Demand Response, Lawrence Berkeley National Laboratory, LBNL-59975, Berkeley, CA, 2007, Available at http://drrc.lbl.gov/drrc-pubsall.html.