2. ANISH KUMAR (10)
NIZAMUDHEEN TK (50)
AKBAR HASAN (12)
MUSHARAT KHAN (21)
TOSIF KHAN (24)
AQUEEB NADIM KHAN (17)
SAHIL GADHAVE (09)
SHADAB KHAN (20)
MUGDHA PEDNEKAR (32)
Team Members
3. “Demand forecasting refers to the prediction
or estimation of future demand of a product.”
Objectives
Under or over production
Market structure
Demand Forecasting
4. Identify products
Set parameters
Determine market
Gather data
Calculate actual forecast
Steps in Demand Forecasting
6. Short Term Demand Forecast
End-use method
E = S x N x P x H
where,
E = energy consumption of an appliance in kWh
S = penetration level in terms of number of such appliances per
customer
N = number of customers
P = power required by the appliance in kW
H = hours of appliance use.
Demand forecasting of Maharashtra State
Electricity Board
7. Long term Demand Forecast
Econometric approach
ED = f (Y, Pi, Pj, POP, T)
where,
ED = electricity demand
Y = output or income
Pi = own price
Pj = price of related fuels
POP = population
T = technology
Demand forecasting of Maharashtra State
Electricity Board
8. Residential ED = f (Y per capita, POP, Pi, Pj)
Industrial ED = g (Y of power intensive industries, GFKF or I, index
of T, index of GP)
where,
ED = Energy Demand
GFKF = Gross fixed capital formation
I = Investment
T = Technology
GP = government policy, and f and g represent functional forms
Demand for energy in specific sectors
9. Hydro Generation Availability
Varies with rainfall
10,400 MW
Liquified Natural Gas
More than 5 million tons
$3.5/MMBtu at Dahej
Other energy sources
10. High tension consumers
8870 HT consumers
Consumption is 32 %
Low tension consumers
297,612 LT consumers
Consumption is 10%
Demand response from industrial
consumers