DEMAND FORECASTING PADA INDUSTRI JUS SIAP MINUM
نویسندگان
چکیده
منابع مشابه
Demand Forecasting for Electricity
Introduction Forecasting demand is both a science and an art. Econometric methods of forecasting, in the context of energy demand forecasting, can be described as ‘the science and art of specification, estimation, testing and evaluation of models of economic processes’ that drive the demand for fuels. The need and relevance of forecasting demand for an electric utility has become a much-discuss...
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We are developing a forecaster for daily extremes of demand for electric power encountered in the service area of a large midwestern utility and using this application as a testbed for approaches to input dimension reduction and decomposition of network training. Projection pursuit regression representations and the ability of algorithms like SIR to quickly find reasonable weighting vectors ena...
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This chapter reviews existing long term water demand forecasting methodologies. Based on an extensive literature review, it shows that the domain has benefited from contributions by economists, engineers and system modelers, producing a wide range of tools, many of which have been tested and adopted by practitioners. It illustrates, via three detailed case studies in the USA, the UK and Austral...
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ژورنال
عنوان ژورنال: Journal Industrial Manufacturing
سال: 2017
ISSN: 2580-3794,2502-4582
DOI: 10.31000/jim.v2i2.630