Hybrid Model for Time Series of Complex Structure with ARIMA Components
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Junyan Liu & Sandeep Kumar & Daniel P. Palomar, 2018. "Parameter Estimation of Heavy-Tailed AR Model with Missing Data via Stochastic EM," Papers 1809.07203, arXiv.org, revised Feb 2019.
- Julio Cezar Souza Vasconcelos & Gauss Moutinho Cordeiro & Edwin Moises Marcos Ortega & Édila Maria de Rezende, 2021. "A new regression model for bimodal data and applications in agriculture," Journal of Applied Statistics, Taylor & Francis Journals, vol. 48(2), pages 349-372, January.
- Zina Boussaada & Octavian Curea & Ahmed Remaci & Haritza Camblong & Najiba Mrabet Bellaaj, 2018. "A Nonlinear Autoregressive Exogenous (NARX) Neural Network Model for the Prediction of the Daily Direct Solar Radiation," Energies, MDPI, vol. 11(3), pages 1-21, March.
- Dragan Miljkovic & Saleem Shaik & Silvia Miranda & Nikita Barabanov & Anais Liogier, 2015. "Globalisation and Obesity," The World Economy, Wiley Blackwell, vol. 38(8), pages 1278-1294, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Oksana Mandrikova & Yuryi Polozov & Nataly Zhukova & Yulia Shichkina, 2022. "Approximation and Analysis of Natural Data Based on NARX Neural Networks Involving Wavelet Filtering," Mathematics, MDPI, vol. 10(22), pages 1-16, November.
- Giuntella, Osea & Rieger, Matthias & Rotunno, Lorenzo, 2020.
"Weight gains from trade in foods: Evidence from Mexico,"
Journal of International Economics, Elsevier, vol. 122(C).
- Osea Giuntella, 2017. "Weight gains from trade in foods: Evidence from Mexico," Working Paper 6265, Department of Economics, University of Pittsburgh.
- Osea Giuntella & Matthias Rieger & Lorenzo Rotunno, 2020. "Weight gains from trade in foods: Evidence from Mexico," Post-Print hal-02499475, HAL.
- Giuntella, Osea & Rieger, Matthias & Rotunno, Lorenzo, 2019. "Weight Gains from Trade in Foods: Evidence from Mexico," IZA Discussion Papers 12677, Institute of Labor Economics (IZA).
- Osea Giuntella & Matthias Rieger & Lorenzo Rotunno, 2018. "Weight gains from trade in foods: Evidence from Mexico," NBER Working Papers 24942, National Bureau of Economic Research, Inc.
- Timothy Praditia & Thilo Walser & Sergey Oladyshkin & Wolfgang Nowak, 2020. "Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture," Energies, MDPI, vol. 13(15), pages 1-26, July.
- Anshuman Satapathy & Niranjan Nayak & Tanmoy Parida, 2022. "Real-Time Power Quality Enhancement in a Hybrid Micro-Grid Using Nonlinear Autoregressive Neural Network," Energies, MDPI, vol. 15(23), pages 1-35, November.
- Guilherme Henrique Alves & Geraldo Caixeta Guimarães & Fabricio Augusto Matheus Moura, 2023. "Battery Storage Systems Control Strategies with Intelligent Algorithms in Microgrids with Dynamic Pricing," Energies, MDPI, vol. 16(14), pages 1-30, July.
- Fjelkestam Frederiksen, Cornelia A. & Cai, Zuansi, 2022. "Novel machine learning approach for solar photovoltaic energy output forecast using extra-terrestrial solar irradiance," Applied Energy, Elsevier, vol. 306(PB).
- Sufyan Samara & Emad Natsheh, 2020. "Intelligent PV Panels Fault Diagnosis Method Based on NARX Network and Linguistic Fuzzy Rule-Based Systems," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
- Salma Hamad Almuhaini & Nahid Sultana, 2023. "Forecasting Long-Term Electricity Consumption in Saudi Arabia Based on Statistical and Machine Learning Algorithms to Enhance Electric Power Supply Management," Energies, MDPI, vol. 16(4), pages 1-28, February.
- Jee-Heon Kim & Nam-Chul Seong & Wonchang Choi, 2020. "Forecasting the Energy Consumption of an Actual Air Handling Unit and Absorption Chiller Using ANN Models," Energies, MDPI, vol. 13(17), pages 1-12, August.
- Lisa Oberlander & Anne‐Célia Disdier & Fabrice Etilé, 2017.
"Globalisation and national trends in nutrition and health: A grouped fixed‐effects approach to intercountry heterogeneity,"
Health Economics, John Wiley & Sons, Ltd., vol. 26(9), pages 1146-1161, September.
- Oberländer, L. & Disdier, A-C. & Etilé, F., 2016. "Globalisation and national trends in nutrition and health - a grouped fixed effects approach to inter-country heterogeneity," Health, Econometrics and Data Group (HEDG) Working Papers 16/18, HEDG, c/o Department of Economics, University of York.
- Lisa Oberländer & Anne-Célia Disdier & Fabrice Etilé, 2017. "Globalisation and national trends in nutrition and health: A grouped fixed-effects approach to intercountry heterogeneity," PSE-Ecole d'économie de Paris (Postprint) hal-01591335, HAL.
- Lisa Oberländer & Anne-Célia Disdier & Fabrice Etilé, 2017. "Globalisation and national trends in nutrition and health -a grouped fixed-effects approach to inter-country heterogeneity," PSE Working Papers halshs-01400829, HAL.
- Lisa Oberländer & Anne-Célia Disdier & Fabrice Etilé, 2017. "Globalisation and national trends in nutrition and health -a grouped fixed-effects approach to inter-country heterogeneity," Working Papers halshs-01400829, HAL.
- Lisa Oberländer & Anne-Célia Disdier & Fabrice Etilé, 2017. "Globalisation and national trends in nutrition and health: A grouped fixed-effects approach to intercountry heterogeneity," Post-Print hal-01591335, HAL.
- Jee-Heon Kim & Nam-Chul Seong & Wonchang Choi, 2019. "Cooling Load Forecasting via Predictive Optimization of a Nonlinear Autoregressive Exogenous (NARX) Neural Network Model," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
- Mary, Sebastien & Shaw, Kelsey & Colen, Liesbeth & Gomez y Paloma, Sergio, 2020. "Does agricultural aid reduce child stunting?," World Development, Elsevier, vol. 130(C).
- Karodine Chreng & Han Soo Lee & Soklin Tuy, 2022. "A Hybrid Model for Electricity Demand Forecast Using Improved Ensemble Empirical Mode Decomposition and Recurrent Neural Networks with ERA5 Climate Variables," Energies, MDPI, vol. 15(19), pages 1-26, October.
- Hernandez-Matheus, Alejandro & Löschenbrand, Markus & Berg, Kjersti & Fuchs, Ida & Aragüés-Peñalba, Mònica & Bullich-Massagué, Eduard & Sumper, Andreas, 2022. "A systematic review of machine learning techniques related to local energy communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
- Jee-Heon Kim & Nam-Chul Seong & Wonchang Choi, 2019. "Modeling and Optimizing a Chiller System Using a Machine Learning Algorithm," Energies, MDPI, vol. 12(15), pages 1-13, July.
- Sylwia Radomska, 2021. "Prognozowanie indeksu WIG20 za pomocą sieci neuronowych NARX i metody SVM," Bank i Kredyt, Narodowy Bank Polski, vol. 52(5), pages 457-472.
- Barrera, Emiliano Lopez & Miljkovic, Dragan, 2022. "The link between the two epidemics provides an opportunity to remedy obesity while dealing with Covid-19," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 280-297.
- Lee, Juyong & Cho, Youngsang, 2022. "National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?," Energy, Elsevier, vol. 239(PD).
- Sébastien Mary & Avraham Stoler, 2021. "Does agricultural trade liberalization increase obesity in developing countries?," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1326-1350, August.
- SeyedAli Ghahari & Cesar Queiroz & Samuel Labi & Sue McNeil, 2021. "Cluster Forecasting of Corruption Using Nonlinear Autoregressive Models with Exogenous Variables (NARX)—An Artificial Neural Network Analysis," Sustainability, MDPI, vol. 13(20), pages 1-20, October.
More about this item
Keywords
time series model; wavelet transform; ARIMA model; neural network NARX; ionospheric parameters;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:10:p:1122-:d:555380. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.