5
H index
4
i10 index
130
Citations
Monash University | 5 H index 4 i10 index 130 Citations RESEARCH PRODUCTION: 3 Articles 7 Papers RESEARCH ACTIVITY: 12 years (2011 - 2023). See details. MORE DETAILS IN: ABOUT THIS REPORT: Permalink: http://citec.repec.org/pbe791 |
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Souhaib Ben Taieb. | Is cited by: | Cites to: |
Journals with more than one article published | # docs |
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International Journal of Forecasting | 3 |
Working Papers Series with more than one paper published | # docs |
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Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics | 5 |
Year | Title of citing document |
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2023 | Macroeconomic forecasting and sovereign risk assessment using deep learning techniques. (2023). Chatzis, Sotirios ; Papadoulas, Loukas ; Panousis, Konstantinos P ; Siakoulis, Vassilis ; Petropoulos, Anastasios. In: Papers. RePEc:arx:papers:2301.09856. Full description at Econpapers || Download paper |
2023 | Optimal dispatch of a multi-energy system microgrid under uncertainty: A renewable energy community in Austria. (2023). Haas, Reinhard ; Ajanovic, Amela ; Auer, Hans ; Zellinger, Michael ; Mansoor, Muhammad ; Stadler, Michael ; Cosic, Armin ; Houben, Nikolaus. In: Applied Energy. RePEc:eee:appene:v:337:y:2023:i:c:s0306261923002775. Full description at Econpapers || Download paper |
2023 | A novel reconciliation approach for hierarchical electricity consumption forecasting based on resistant regression. (2023). Cyrino, Fernando Luiz ; Lila, Mauricio Franca ; Meira, Erick. In: Energy. RePEc:eee:energy:v:269:y:2023:i:c:s0360544223001883. Full description at Econpapers || Download paper |
2024 | Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting. (2024). Mirza, Nawazish ; Umar, Muhammad ; Naqvi, Bushra ; Abbas, Syed Kumail. In: International Review of Financial Analysis. RePEc:eee:finana:v:94:y:2024:i:c:s1057521924001704. Full description at Econpapers || Download paper |
2023 | Towards a real-time prediction of waiting times in emergency departments: A comparative analysis of machine learning techniques. (2023). Squicciarini, Nunzia ; Aloini, Davide ; Benevento, Elisabetta. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:1:p:192-208. Full description at Econpapers || Download paper |
2023 | Physics-informed Gaussian process regression for states estimation and forecasting in power grids. (2023). Tipireddy, Ramakrishna ; Barajas-Solano, David A ; Ma, Tong ; Tartakovsky, Alexandre M. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:967-980. Full description at Econpapers || Download paper |
2024 | Forecast reconciliation: A review. (2024). Panagiotelis, Anastasios ; Kourentzes, Nikolaos ; Hyndman, Rob J ; Athanasopoulos, George. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:430-456. Full description at Econpapers || Download paper |
2024 | Probabilistic hierarchical forecasting with deep Poisson mixtures. (2024). Dicker, Lee ; Cao, Mengfei ; Reddy, Rohan ; Ma, Ruijun ; Meetei, Nganba O ; Olivares, Kin G. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:2:p:470-489. Full description at Econpapers || Download paper |
2024 | Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models. (2024). Yu, Chunyan ; Lee, Kiljae ; Hopfe, David H. In: Journal of Air Transport Management. RePEc:eee:jaitra:v:115:y:2024:i:c:s0969699723001680. Full description at Econpapers || Download paper |
2023 | Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess. (2023). Musilek, Petr ; Ardakanian, Omid ; Sohrabbeig, Amirhossein. In: Forecasting. RePEc:gam:jforec:v:5:y:2023:i:4:p:37-696:d:1298355. Full description at Econpapers || Download paper |
2023 | Short-Term Subway Passenger Flow Prediction Based on Time Series Adaptive Decomposition and Multi-Model Combination (IVMD-SE-MSSA). (2023). Wu, Jinxin ; Liu, Saihu ; Huang, Zhongxiang ; Zhang, Yuxiang. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:10:p:7949-:d:1145599. Full description at Econpapers || Download paper |
2023 | Cross-temporal Probabilistic Forecast Reconciliation. (2023). Hyndman, Rob J ; di Fonzo, Tommaso ; Athanasopoulos, George ; Girolimetto, Daniele. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2023-6. Full description at Econpapers || Download paper |
Year | Title | Type | Cited |
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2023 | Scores for Multivariate Distributions and Level Sets In: Papers. [Full Text][Citation analysis] | paper | 1 |
2011 | Conditionally dependent strategies for multiple-step-ahead prediction in local learning In: International Journal of Forecasting. [Full Text][Citation analysis] | article | 12 |
2011 | Conditionally dependent strategies for multiple-step-ahead prediction in local learning.(2011) In: International Journal of Forecasting. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 12 | article | |
2014 | A gradient boosting approach to the Kaggle load forecasting competition In: International Journal of Forecasting. [Full Text][Citation analysis] | article | 53 |
2012 | Recursive and direct multi-step forecasting: the best of both worlds In: Monash Econometrics and Business Statistics Working Papers. [Full Text][Citation analysis] | paper | 9 |
2014 | Boosting multi-step autoregressive forecasts In: Monash Econometrics and Business Statistics Working Papers. [Full Text][Citation analysis] | paper | 5 |
2015 | Probabilistic time series forecasting with boosted additive models: an application to smart meter data In: Monash Econometrics and Business Statistics Working Papers. [Full Text][Citation analysis] | paper | 0 |
2017 | Coherent Probabilistic Forecasts for Hierarchical Time Series In: Monash Econometrics and Business Statistics Working Papers. [Full Text][Citation analysis] | paper | 22 |
2020 | Nonlinear Mixed Effects Models for Time Series Forecasting of Smart Meter Demand In: Monash Econometrics and Business Statistics Working Papers. [Full Text][Citation analysis] | paper | 0 |
2013 | Machine learning strategies for time series forecasting In: ULB Institutional Repository. [Citation analysis] | paper | 28 |
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