This paper introduces five new univariate exponentially weighted methods for forecasting intraday time series that consist of both intraweek and intraday seasonal cycles. Applications of relevance include forecasting volumes of call centre arrivals, transportation, e-mail traffic and electricity load. The first method that we develop extends an exponential smoothing formulation that has been us...

In this study, a hybrid synergy model integrating exponential smoothing and neural network is proposed for financial time series prediction. The proposed model attempts to incorporate the linear characteristics of an exponential smoothing model and nonlinear patterns of neural network to create a “synergetic” model via the linear programming technique. For verification, two real-world financial...

The Double Exponential Smoothing (DES) and Triple (TES) are forecasting methods that require two three smoothing parameters, respectively. parameters often determined through a trial error process is not really efficient since many experiments need to be done. Therefore, in this study, parameter estimation algorithm conducted the form of modified Golden Section Search (GSS) obtain optimal from ...

In economies that are dependent on fossil fuel revenues, Realization of long-term plans, mid-term and annual budgeting requires a fairly accurate estimation of the amount of consumption and its price fluctuations. Accordingly, the present study is using machine learning techniques to predict the usage of fossil fuels (Diesel, Black oil, Heating oil, and Petrol) in mid-term. Exponential Smoothin...

Oil palm is one of the largest agricultural products in Indonesia and has high economic value can improve welfare oil farmers. The research was conducted at PT. Agro Putra Lestari regarding production, having its address Jln.Imam Bonjol No.179 Kisaran with name leader being Mr. Anda Puta Lubis, SE, M, Ma. a company that produces fruit which still running. spread across Asahan area, including Me...