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An economic analysis of neural-based techniques applied for energy consumption prediction
Bǎlǎcian, Delia, (2023)
Forecasting Long-Term Electricity Demand Time Series Using Artificial Neural Networks
Behm, Christian, (2020)
A hybrid model compression approach via knowledge distillation for predicting energy consumption in additive manufacturing
Li, Yixin, (2023)
A re-evaluation of the quasi-Bayes approach to the linear combination of forecasts
Faria, A. E., (1995)
A bootstrap simulation study in ARMA (p, q) structures
Souza, Reinaldo Castro, (1996)
A Bayesian approach to modelling stochastic cycles
Brasil, G. H., (1993)