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Forecasting commercial electricity sales
Author(s) -
Watson Mark W.,
Pastuszek Lydia M.,
Cody Eric
Publication year - 1987
Publication title -
journal of forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.543
H-Index - 59
eISSN - 1099-131X
pISSN - 0277-6693
DOI - 10.1002/for.3980060206
Subject(s) - electricity , business , sales forecasting , electricity demand , variety (cybernetics) , finance , commerce , economics , marketing , computer science , electricity generation , engineering , power (physics) , physics , quantum mechanics , artificial intelligence , electrical engineering
An important component of the New England Electric System Companies' (the 'System') total electricity sales is attributable to commercial customers. Commercial growth has recently been strong; moreover the System's peak demand is highly sensitive to commercial load. In a typical month this class represents 33 per cent of total System sales. Accurate short‐run forecasts of total kWh sales are important for rate making, budgeting, fuel cause proceedings, and corporate planning. In this study we use a variety of econometric and time‐series techniques to produce short‐run forecasts of commercial sales for two geographical areas served by two separate retail companies;.