A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection Method

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Yang, Jun-He; Cheng, Ching-Hsue; Chan, Chia-Pan;
(2017)

Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collected data from the Ta... View more
  • References (37)
    37 references, page 1 of 4

    Chang, F.-J., Chang, Y.-T.. Adaptive neuro-fuzzy inference system for prediction of water level in reservoir. Advances in Water Resources . 2006; 29 (1): 1-10

    Tiwari, M. K., Chatterjee, C.. Development of an accurate and reliable hourly flood forecasting model using wavelet-bootstrap-ANN (WBANN) hybrid approach. Journal of Hydrology . 2010; 394 (3-4): 458-470

    Chen, C.-S., Jhong, Y.-D., Wu, T.-Y., Chen, S.-T.. Typhoon event-based evolutionary fuzzy inference model for flood stage forecasting. Journal of Hydrology . 2013; 490: 134-143

    Chang, F.-J., Chen, P.-A., Lu, Y.-R., Huang, E., Chang, K.-Y.. Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control. Journal of Hydrology . 2014; 517: 836-846

    Hipni, A., El-shafie, A., Najah, A., Karim, O. A., Hussain, A., Mukhlisin, M.. Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS). Water Resources Management . 2013; 27 (10): 3803-3823

    Seo, Y., Kim, S., Kisi, O., Singh, V. P.. Daily water level forecasting using wavelet decomposition and artificial intelligence techniques. Journal of Hydrology . 2015; 520: 224-243

    Broomhead, D. S., Lowe, D.. Multivariable functional interpolation and adaptive networks. Complex Systems . 1988; 2 (3): 321-355

    Ganapathy, K., Vaidehi, V., Chandrasekar, J. B.. Optimum steepest descent higher level learning radial basis function network. Expert Systems with Applications . 2015; 42 (21): 8064-8077

    Brandstetter, P., Kuchar, M.. Sensorless control of variable speed induction motor drive using RBF neural network. Journal of Applied Logic . 2017; 24 (part A): 97-108

    Anish, C. M., Majhi, B.. Hybrid nonlinear adaptive scheme for stock market prediction using feedback FLANN and factor analysis. Journal of the Korean Statistical Society . 2016; 45 (1): 64-76

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