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Design of a non-linear time series prediction model for daily electricity demand forecasting
Uma, S.; Chitra, A.; Suganthi, J. - In: International journal of business innovation and research 7 (2013) 3, pp. 298-317
Persistent link: https://www.econbiz.de/10009757522
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Space-time model versus VAR model : forecasting electricity demand in Japan
Ohtsuka, Yoshihiro; Kakamu, Kazuhiko - In: Journal of forecasting 32 (2013) 1, pp. 75-85
Persistent link: https://www.econbiz.de/10009758713
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Electricity demand analysis using cointegration and ARIMA modelling: a case study of Turkey
Erdogdu, Erkan - In: Energy policy 35 (2007) 2, pp. 1129-1146
Persistent link: https://www.econbiz.de/10003441804
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Estimation of electric demand in Japan : a Bayesian spatial autoregressive AR(p) approach
Ohtsuka, Yoshihiro; Kakamu, Kazuhiko - In: Inflation : causes and effects, (pp. 165-178). 2009
Persistent link: https://www.econbiz.de/10008934480
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Problemy zwia̜zane z prognozowaniem zużycia energii elektrycznej w Polsce
Da̜sal, Kazimierz; Popławski, Tomasz - In: Polityka energetyczna 11 (2008) 1, pp. 101-115
Persistent link: https://www.econbiz.de/10003781093
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A comparison of univariate methods for forecasting electricity demand up to a day ahead
Taylor, James W.; De Menezes, Lilian M.; McSharry, … - In: International journal of forecasting 22 (2006) 1, pp. 1-16
Persistent link: https://www.econbiz.de/10003283925
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Erweiterte ARMA-Ansätze zur Prognose von Spotmarktpreisen in Europa
Swider, Derk J. - In: Zeitschrift für Energiewirtschaft : ZfE 30 (2006) 1, pp. 31-42
Persistent link: https://www.econbiz.de/10003310150
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Forecasting Electricity Consumption in the Philippines Using ARIMA Models
Parreño, Samuel John - 2023
The electricity demand has been steadily increasing throughout the years. A robust predictive model is required to … prepare for future electricity consumption. This paper applied the ARIMA models to forecast electricity consumption in the … statistically appropriate model to forecast electricity consumption in the Philippines. It is predicted that by 2030, the …
Persistent link: https://www.econbiz.de/10014357533
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A forecasting and allocation model for vaccine resource demand
Chi, Shyue-ping; Chiu, Ruey-kei; Feng, Chen K. - In: International journal of business and systems research 3 (2009) 2, pp. 186-201
Persistent link: https://www.econbiz.de/10003897654
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Demand forecasting of tea by seasonal ARIMA model
Gijo, E. V. - In: International journal of business excellence 4 (2011) 1, pp. 111-124
Persistent link: https://www.econbiz.de/10008905639