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Demand Forecasting
Forecasting methods for energy in Maharashtra State
 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
 “Demand forecasting refers to the prediction
or estimation of future demand of a product.”
 Objectives
 Under or over production
 Market structure
Demand Forecasting
 Identify products
 Set parameters
 Determine market
 Gather data
 Calculate actual forecast
Steps in Demand Forecasting
Techniques
Survey Methods
Consumer
survey
Opinion Poll
Statistical
Methods
Trend
projection
Barometric
Econometric
Techniques of Demand Forecasting
 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
 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
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
 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
 High tension consumers
 8870 HT consumers
 Consumption is 32 %
 Low tension consumers
 297,612 LT consumers
 Consumption is 10%
Demand response from industrial
consumers
 Sophisticated and relevant tools
 Results for MSEB
 Acute shortage
 Industrial generation
 Agricultural demand
 Potential wholesale electricity market
Conclusion
Demand forecasting

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Demand forecasting

  • 1. Demand Forecasting Forecasting methods for energy in Maharashtra State
  • 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
  • 11.  Sophisticated and relevant tools  Results for MSEB  Acute shortage  Industrial generation  Agricultural demand  Potential wholesale electricity market Conclusion