TY - JOUR
T1 - Residential load management under stochastic weather condition in developing countries
AU - Al-Sumaiti, Ameena Saad
AU - Ahmed, Mohammed Hassan
AU - Salama, Magdy
N1 - Publisher Copyright:
© 2014 Taylor & Francis Group, LLC.
PY - 2014/10/3
Y1 - 2014/10/3
N2 - This article focuses on offline residential load management in a developing country. This load management is based on scheduling linear load models under the stochastic weather conditions. The weather condition is modeled using the probability theory and Monte Carlo simulation. The seasonality effect, the type of day, and the stochastic hourly variation of weather conditions are considered as factors governing load management.
AB - This article focuses on offline residential load management in a developing country. This load management is based on scheduling linear load models under the stochastic weather conditions. The weather condition is modeled using the probability theory and Monte Carlo simulation. The seasonality effect, the type of day, and the stochastic hourly variation of weather conditions are considered as factors governing load management.
KW - electricity demand models
KW - load management
KW - residential electricity demand
KW - stochastic optimization
KW - stochastic weather modeling
KW - time-of-use
KW - uncertainty modeling
UR - http://www.scopus.com/inward/record.url?scp=84907887814&partnerID=8YFLogxK
U2 - 10.1080/15325008.2014.933375
DO - 10.1080/15325008.2014.933375
M3 - Article
AN - SCOPUS:84907887814
SN - 1532-5008
VL - 42
SP - 1452
EP - 1473
JO - Electric Power Components and Systems
JF - Electric Power Components and Systems
IS - 13
ER -