Mahdi Abolghasemi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Wastewater Treatment

Hierarchical Structure

Top Venues

Int. J. Prod. Res.

Comput. Ind. Eng.

Publications

Matthew Colwell, Mahdi Abolghasemi
Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment. CoRR (2024)
Mahdi Abolghasemi, Bahman Rostami Tabar, Aris A. Syntetos
The value of point of sales information in upstream supply chain forecasting: an empirical investigation. Int. J. Prod. Res. 61 (7) (2023)
Mitchell Keegan, Mahdi Abolghasemi
Approximating Solutions to the Knapsack Problem Using the Lagrangian Dual Framework. AI (1) (2023)
Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai, Asha Rao
Detecting inner-LAN anomalies using hierarchical forecasting. CoRR (2023)
Lucas English, Mahdi Abolghasemi
How to forecast power generation in wind farms? Insights from leveraging hierarchical structure. CoRR (2023)
Mitchell Keegan, Mahdi Abolghasemi
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework. CoRR (2023)
Mahdi Abolghasemi
The intersection of machine learning with forecasting and optimisation: theory and applications. CoRR (2022)
Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir
Model selection in reconciling hierarchical time series. Mach. Learn. 111 (2) (2022)
Mahdi Abolghasemi, Richard Bean
How to predict and optimise with asymmetric error metrics. CoRR (2022)
Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR (2022)
Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos
Hierarchical forecast reconciliation with machine learning. Appl. Soft Comput. 112 (2021)
Mahdi Abolghasemi, Babak Abbasi, Toktam Babaei, Seyedeh Zahra Hosseinifard
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function. CoRR (2021)
Mahdi Abolghasemi, Rasul Esmaeilbeigi
State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge. CoRR (2021)
Muhammad Hamza, Mahdi Abolghasemi, Abraham Oshni Alvandi
Forecasting sales with Bayesian networks: a case study of a supermarket product in the presence of promotions. CoRR (2021)
Mahdi Abolghasemi, Eric J. Beh, Garth Tarr, Richard Gerlach
Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion. Comput. Ind. Eng. 142 (2020)
Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos
Hierarchical forecast reconciliation with machine learning. CoRR (2020)
Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir
Model selection in reconciling hierarchical time series. CoRR (2020)
Mahdi Abolghasemi, Rob J. Hyndman, Garth Tarr, Christoph Bergmeir
Machine learning applications in time series hierarchical forecasting. CoRR (2019)