Citation profile for Souhaib Ben Taieb

Souhaib Ben Taieb : Citation Profile

Monash University

H index

i10 index

129

Citations

RESEARCH PRODUCTION:

Articles

Papers

RESEARCH ACTIVITY:

   12 years (2011 - 2023). See details.
   Cites by year: 10
   Journals where Souhaib Ben Taieb has often published
   Relations with other researchers
   Recent citing documents: 13.    Total self citations: 2 (1.53 %)

MORE DETAILS IN:

EconPapers Author's homepage

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pbe791
   Updated: 2024-11-06    RAS profile: 2021-01-04
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Relations with other researchers

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:

Hyndman, Rob (7)

Hong, Tao (5)

Panagiotelis, Anastasios (3)

Guidolin, Massimo (3)

Reade, J (3)

Paccagnini, Alessia (3)

Rubaszek, Michał (3)

Thomakos, Dimitrios (3)

Martinez, Andrew (3)

Li, Feng (3)

Fiszeder, Piotr (3)

Cites to:

Hyndman, Rob (9)

Chevillon, Guillaume (4)

Panchenko, Valentyn (3)

Diks, Cees (3)

Teräsvirta, Timo (3)

Patton, Andrew (3)

van Dijk, Dick (3)

Kerstens, Kristiaan (2)

Chernozhukov, Victor (2)

Hong, Tao (2)

Galichon, Alfred (2)

Main data

Where Souhaib Ben Taieb has published?

Journals with more than one article published	# docs
International Journal of Forecasting	3

Working Papers Series with more than one paper published	# docs
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics	5

Recent works citing Souhaib Ben Taieb (2024 and 2023)

Year	Title of citing document
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

Works by Souhaib Ben Taieb:

Year	Title	Type	Cited
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	21
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