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1.Evaluation of a Developed Discrete Time-Series Method in Flow Forecasting Models

作者：Habib Akbari-Alashti ; Omid Bozorg Haddad ; Miguel A. Mari?o

关键词：ARMAX ; ANN ; GP ; Inflow forecasting

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

2.Mid-term electricity market clearing price forecasting: A hybrid LSSVM and ARMAX approach

作者：Xing Yan ; Nurul A. Chowdhury

关键词：Auto-regressive moving average with external input (ARMAX) ; Deregulated electric market ; Electricity market clearing price (MCP) ; Electricity price forecasting ; PJM ; Least squares support vector machine (LSSVM)

刊名：International Journal of Electrical Power and Energy Systems

年：2013

3.Realistic forecasting of groundwater level, based on the eigenstructure of aquifer dynamics

作者：Bidwell ; V.J.

关键词：Groundwater forecasting ; Aquifer dynamics ; Eigenvalue ; ARMAX

刊名：Mathematics and Computers in Simulation

年：2005

4.Evolutionary artificial neural networks for hydrological systems forecasting

作者：Yung-hsiang Chen ; Fi-John Chang

关键词：Evolutionary artificial neural network (EANN) ; Genetic algorithm (GA) ; Time series ; Forecasting ; Hydrology ; Water resources

刊名：Journal of Hydrology

年：2009

5.Forecasting Surface Water Level Fluctuations of Lake Van by Artificial Neural Networks

作者：Abdüsselam Altunkaynak

关键词：Hydrologic budget ; Lake level ; Neural networks ; Prediction

刊名：Water Resources Management

出版者：Springer Netherlands

年：2007

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