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Forecasting gasoline demand in Indonesia using time series

Mardiana, Sylvia; Saragih, Ferdinand; Huseini, Martani - In: International Journal of Energy Economics and Policy : IJEEP 10 (2020) 6, pp. 132-145

Persistent link: https://www.econbiz.de/10012507404

Agribusiness time series forecasting using Wavelet neural networks and metaheuristic optimization : an analysis of the soybean sack price and perishable products demand

Puchalsky, Weslly; Ribeiro, Gabriel Trierweiler; Veiga, … - In: International journal of production economics 203 (2018), pp. 174-189

Persistent link: https://www.econbiz.de/10011900364

ASACT - data preparation for forecasting : a method to substitute transaction data for unavailable product consumption data

Murray, Paul W.; Agard, Bruno; Barajas, Marco A. - In: International journal of production economics 203 (2018), pp. 264-275

Persistent link: https://www.econbiz.de/10011900443

Disaggregating time series on multiple criteria for robust forecasting : the case of long-term electricity demand in Greece

Angelopoulos, Dimitrios; Siskos, Yannis; Psarras, John - In: European journal of operational research : EJOR 275 (2019) 1, pp. 252-265

Persistent link: https://www.econbiz.de/10011993257

Improved tourism demand forecasting with CIR# model : a case study of disrupted data patterns in Italy

Bufalo, Michele; Orlando, Giuseppe - In: Tourism review 79 (2024) 2, pp. 445-464

Persistent link: https://www.econbiz.de/10014512279

Hierarchical transfer learning with applications to electricity load forecasting

Antoniadis, Anestis; Gaucher, Solenne; Goude, Yannig - In: International journal of forecasting 40 (2024) 2, pp. 641-660

Persistent link: https://www.econbiz.de/10014547191

Werbemarkt Fernsehen: zur Eignung der Spektralanalyse als Prognoseinstrument

Lang, Günter - In: Theorie und Praxis der Werbung in den Massenmedien, (pp. 88 - 102). 2005

Persistent link: https://www.econbiz.de/10014556061

Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning

Seyedan, Mahya; Mafakheri, Fereshteh; Wang, Chun - In: Supply chain analytics 3 (2023), pp. 1-13

volatility, customer demand is generally changing, and ignoring this uncertainty could lead to under or over-estimation of … before the depletion of stocks due to the lead time between the ordering point and delivery. Therefore, to meet demand while … and big data analytics have made it easier to overcome such a challenge. This study aims to predict future demand in the …

Persistent link: https://www.econbiz.de/10014516502

Time Varying Parameters Bayesian Forecasting of Electricity Demand : The Italian Case

Grasso, Margherita - 2010

Electricity demand is modeled as a time-varying parameters (TVP) vector autoegression with or without imposing …

Persistent link: https://www.econbiz.de/10014193091

Forecasting international tourist arrivals in formulating tourism strategies and planning : the case of Sri Lanka

Thushara, S. C.; Su, Jen-je; Bandara, Jayatilleke S. - In: Cogent economics & finance 7 (2019) 1, pp. 1-32

In some developing countries, tourism-led growth strategy has been used to accelerate growth, generate employment opportunities and increase foreign exchange earnings. To maximise benefits from the tourism industry, appropriate policy decisions, infrastructure development and conducive business...

Persistent link: https://www.econbiz.de/10014233079