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Electricity consumption prediction using artificial intelligence

Čegovnik, Tomaž; Dobrovoljc, Andrej; Povh, Janez; … - In: Central European journal of operations research 31 (2023) 3, pp. 833-851

Persistent link: https://www.econbiz.de/10014326562

Does demand forecasting matter to retailing?

Almeida, Wesley Marcos de; Veiga, Claudimar Pereira da - In: Journal of marketing analytics : JMA 11 (2023) 2, pp. 219-232

Persistent link: https://www.econbiz.de/10014326755

A parallel-series hybridization of seasonal intelligent based statistical model for demand forecasting

Bahrami, Maryam; Khashei, Mehdi; Amindoust, Atefeh - In: Journal of modelling in management 17 (2022) 4, pp. 1126-1143

Persistent link: https://www.econbiz.de/10014334156

Human-centric artificial intelligence architecture for industry 5.0 applications

Rožanec, Jože M.; Novalija, Inna; Zajec, Patrik; … - In: International journal of production research 61 (2023) 20, pp. 6847-6872

Persistent link: https://www.econbiz.de/10014383261

Forecasting the total non-coincidental monthly system peak demand in the Philippines : a comparison of seasonal autoregressive integrated moving average models and artificial neura...

Parreno, Samuel John - In: International Journal of Energy Economics and Policy : IJEEP 13 (2023) 5, pp. 544-552

Persistent link: https://www.econbiz.de/10014384462

Tourism demand with subtle seasonality : recognition and forecasting

Wang, Haiyan; Hu, Tao; Wu, Huihui - In: Tourism economics : the business and finance of tourism … 29 (2023) 7, pp. 1865-1889

Persistent link: https://www.econbiz.de/10014384549

Demand forecasting using a hybrid model based on artificial neural networks : a study case on electrical products

Quiñones-Rivera, Hector; Rubiano-Ovalle, Oscar; … - In: Journal of industrial engineering and management : JIEM 16 (2023) 2, pp. 363-381

Purpose: This work aims to evaluate demand forecasting models to determine if using exogenous factors and machine … manage demand better.Design/methodology/approach: We implemented a multivariate Auto-Regressive Moving Average with eXogenous … to a standard univariate statistical model to forecast the demand for electrical products in a Colombian manufacturing …

Persistent link: https://www.econbiz.de/10014513392

Machine learning for demand forecasting in the physical internet : a case study of agricultural products in Thailand

Kantasa-ard, Anirut; Nouiri, Maroua; Bekrar, Abdelghani; … - In: International journal of production research 59 (2021) 24, pp. 7491-7515

Persistent link: https://www.econbiz.de/10012697551

Demand forecasting : an alternative approach based on technical indicator Pbands

Kolková, Andrea; Ključnikov, Aleksandr - In: Oeconomia Copernicana 12 (2021) 4, pp. 1063-1094

Persistent link: https://www.econbiz.de/10012800993

Regional Tourism Demand Forecasting with Machine Learning Models : Gaussian Process Regression vs. Neural Network Models in a Multiple-Input Multiple-Output Setting

Claveria, Oscar - 2017

This study presents a multiple-input multiple-output (MIMO) approach for multi-step-ahead time series prediction with a Gaussian process regression (GPR) model. We assess the forecasting performance of the GPR model with respect to several neural network architectures. The MIMO setting allows...

Persistent link: https://www.econbiz.de/10012959523