TITLE:
Optimal Scheme with Load Forecasting for Demand Side Management (DSM) in Residential Areas
AUTHORS:
Mohamed AboGaleela, Magdy El-Marsafawy, Mohamed El-Sobki
KEYWORDS:
Component; Demand Side Management(DSM); Load factor(L.F.); Short Term Load Forecatsing(STLF); Long Term Load Forecasting(LTLF); Artificial Neural Network(ANN)
JOURNAL NAME:
Energy and Power Engineering,
Vol.5 No.4B,
November
11,
2013
ABSTRACT: Utilities around the world have been considering Demand
Side Management (DSM) in their strategic planning. The costs of constructing
and operating a new capacity generation unit are increasing everyday as well as
Transmission and distribution and land issues for new generation plants, which
force the utilities to search for another alternatives without any additional
constraints on customers comfort level or quality of delivered product. De can
be defined as the selection, planning, and implementation of measures intended
to have an influence on the demand or customer-side of the electric meter,
either caused directly or stimulated indirectly by the utility. DSM programs
are peak clipping, Valley filling, Load shifting, Load building, energy
conservation and flexible load shape. The main Target of this paper is to show
the relation between DSM and Load Forecasting. Moreover, it
highlights on the effect of applying DSM on Forecasted demands and how this
affects the planning strategies for utility companies. This target will be
clearly illustrated through applying the developed algorithm in this paper on
an existing residential compound in Cairo-Egypt.