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Linear optimal weighting estimator (LOWE) for efficient parallel hybridization of load forecasts

Chahkotahi, Fatemeh; Khashei, Mehdi - In: Journal of modelling in management 17 (2022) 3, pp. 1028-1048

Persistent link: https://www.econbiz.de/10013362699

Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization

Candelieri, Antonio; Giordani, Ilaria; Archetti, Francesco - In: Computers & operations research : and their … 106 (2019), pp. 202-209

Persistent link: https://www.econbiz.de/10012014411

Optimised hybrid CNN bi-LSTM model for stock price forecasting

Patnaik, Deepti; Rao, N. V. Jagannadha; Padhiari, … - In: International journal of intelligent enterprise 11 (2024) 3, pp. 248-273

Persistent link: https://www.econbiz.de/10015065340

Is it possible to accurately forecast the evolution of Brent crude oil prices? : an answer based on parametric and nonparametric forecasting methods

Álvarez-Díaz, Marcos - In: Empirical economics : a journal of the Institute for … 59 (2020) 3, pp. 1285-1305

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Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine

Lu, Hongfang; Azimi, Mohammadamin; Iseley, Tom - In: Energy reports 5 (2019), pp. 666-677

The accurate forecasting of short-term load for urban gas is the premise of gas supply sales, pipe network planning … (FFOA), simulated annealing algorithm (SA), cross factor (CF) and support vector machine (SVM) to forecast the short … the results with the other four forecasting methods such as back-propagation neural network (BPNN) and autoregressive …

Persistent link: https://www.econbiz.de/10012020062