Souhaib Ben Taieb : Citation Profile


Are you Souhaib Ben Taieb?

Monash University

5

H index

4

i10 index

126

Citations

RESEARCH PRODUCTION:

3

Articles

7

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: 10.    Total self citations: 2 (1.56 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pbe791
   Updated: 2024-04-18    RAS profile: 2021-01-04    
   Missing citations? Add them    Incorrect content? Let us know

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 (6)

Hong, Tao (5)

Rubaszek, Michał (3)

Shang, Han Lin (3)

Thomakos, Dimitrios (3)

Castle, Jennifer (3)

Paccagnini, Alessia (3)

Li, Feng (3)

Guidolin, Massimo (3)

Fiszeder, Piotr (3)

Franses, Philip Hans (3)

Cites to:

Hyndman, Rob (9)

Chevillon, Guillaume (4)

Diks, Cees (3)

Patton, Andrew (3)

Teräsvirta, Timo (3)

Panchenko, Valentyn (3)

van Dijk, Dick (3)

Athanasopoulos, George (2)

Hong, Tao (2)

Kerstens, Kristiaan (2)

Galichon, Alfred (2)

Main data


Where Souhaib Ben Taieb has published?


Journals with more than one article published# docs
International Journal of Forecasting3

Working Papers Series with more than one paper published# docs
Monash Econometrics and Business Statistics Working Papers / Monash University, Department of Econometrics and Business Statistics5

Recent works citing Souhaib Ben Taieb (2024 and 2023)


YearTitle of citing document
2023Macroeconomic 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

2023Optimal 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

2023A 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

2023Towards 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

2023Physics-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

2023Decompose 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

2023Short-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

2023Cross-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

2023A hybrid approach with step?size aggregation to forecasting hierarchical time series. (2023). Rafique, Raza ; Wan, Guohua ; Rehman, Hakeemur. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:1:p:176-192.

Full description at Econpapers || Download paper

Works by Souhaib Ben Taieb:


YearTitleTypeCited
2023Scores for Multivariate Distributions and Level Sets In: Papers.
[Full Text][Citation analysis]
paper1
2011Conditionally dependent strategies for multiple-step-ahead prediction in local learning In: International Journal of Forecasting.
[Full Text][Citation analysis]
article12
2011Conditionally 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
2014A gradient boosting approach to the Kaggle load forecasting competition In: International Journal of Forecasting.
[Full Text][Citation analysis]
article53
2012Recursive and direct multi-step forecasting: the best of both worlds In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper9
2014Boosting multi-step autoregressive forecasts In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper5
2015Probabilistic 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]
paper0
2017Coherent Probabilistic Forecasts for Hierarchical Time Series In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper19
2020Nonlinear Mixed Effects Models for Time Series Forecasting of Smart Meter Demand In: Monash Econometrics and Business Statistics Working Papers.
[Full Text][Citation analysis]
paper1
2013Machine learning strategies for time series forecasting In: ULB Institutional Repository.
[Citation analysis]
paper26

CitEc is a RePEc service, providing citation data for Economics since 2001. Sponsored by INOMICS. Last updated March, 4 2024. Contact: CitEc Team