A Preference Ranking of possible locations for the construction of Hydroelectric Power Plants in India
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Abstract
Construction of Hydroelectric power plants comprise challenging applications of modern time series forecasting and are essential to
the success of many businesses. In this paper, preference ranking is based on PROMOTHEE method. Firstly the dataset that extract linear
characteristics of hydroelectric power plants are identified. Secondly, the PROMOTHEE method is used for the nonlinear combination ranking
model of different power plants. Empirical results obtained reveal that the ranking by using the nonlinear combination model is generally better
than those obtained using other models presented in this study in terms of the same evaluation measurements. Those results show that that the
proposed nonlinear modeling technique is a very promising approach to real time series ranking.
Keywords: PROMOTHEE, hydroelectric, nonlinear, ranking, accuracy
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