A highly resolved modeling technique to simulate residential power demand

Applied Energy

Volumn 107, Issue , 2013, Pages 465-473

  Muratori, Matteo ^a,b   Roberts, Matthew C ^b   Sioshansi, Ramteen ^a,b   Marano, Vincenzo ^b   Rizzoni, Giorgio ^a,b  

^a Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Energy demand modeling; Heterogeneous Markov chain; Household power demand; HVAC modeling; Occupant behavior; Residential electricity use

Indexed keywords

AIR CONDITIONING; ELECTRICITY; ENERGY MANAGEMENT; HOUSING; MARKOV PROCESSES; MODELS;

BUREAU OF LABOR STATISTICS; ENERGY DEMANDS; OCCUPANT BEHAVIOR; PHYSICALLY BASED MODELS; POWER DEMANDS; RESIDENTIAL ELECTRICITY; RESIDENTIAL POWER DEMAND; STATISTICAL VALIDATION;

HEATING;

AIR CONDITIONING; ANNUAL VARIATION; DATA ACQUISITION; DEMAND ANALYSIS; DIURNAL VARIATION; DOMESTIC WORK; EQUIPMENT; HEATING; MARKOV CHAIN; NUMERICAL MODEL; RESIDENTIAL ENERGY; VENTILATION;

UNITED STATES;

EID: 84875769957     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2013.02.057     Document Type: Article

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