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Electric Consumption Forecasting Methods by Alexander Decker is a document available to read on EtoBox.

What is Electric Consumption Forecasting Methods about?

This paper discusses the forecasting of electric consumption in a semiconductor plant using various time series methods, analyzing data from the Metropolitan Electricity Authority over 36 months. The study identifies single exponential smoothing as the most effective method, achieving the lowest Mean Absolute Percentage Error (MAPE) of 5.60. The findings emphasize the importance of accurate electricity load forecasting for optimizing operational costs and decision-making in the semiconductor industry.

Author
Alexander Decker
Language
EN