Abstract—As in the peak period electricity demand is high,
providing a demand model to analyze load condition
particularly during maximum demand period is important in
relation to keep continuity service to connected consumers. In
this research, effect of meteorological variables and holidays
particularly on daytime maximum demand period for a total
load for five different demand areas in Makassar – Indonesia
are observed by developed demand models based on regression
method using hourly data. We firstly observe characteristics of
demand for whole period through WPEDm model as a basis
analysis. Next, we explore typical characteristic when daytime
maximum demand period by creating DMDm model. In order to
find better model, some options for each model are composed
and assessed by standard statistical tests. From results, it is
confirmed the composed models are well validated. Load
drivers and their effect on the observed demand periods are
found unique.
Index Terms—Demand characteristic, daytime maximum
demand, meteorological variables, electricity demand model,
Makassar.
Y. S. Akil, Syafaruddin, and T. Waris are with the Electrical Engineering
Department, Hasanuddin University, Makassar 90245 Indonesia, Indonesia
(e-mail: yusakil@unhas.ac.id, yusakil@yahoo.com, syafaruddin@
unhas.ac.id, tajuddin@unhas.ac.id).
I. Taufik is with the STMIK Handayani Makassar, Indonesia (e-mail:
imran_taufik@yahoo.co.id).
[PDF]
Cite: Yusri Syam Akil, Syafaruddin, Tajuddin Waris, and Imran Taufik, "Meteorological Parameters and Daytime Maximum Electricity Demand in Makassar, Indonesia," International Journal of Materials, Mechanics and Manufacturing vol. 3, no. 3, pp. 197-200, 2015.