Mahdi Abolghasemi

23 papers Misc 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Design and Analysis of a Novel Two-Switch Transformerless High Step-Up DC-DC Converter for Grid-Connected Renewable Energy Sources. IEEE Access Iman Soltani, Mahdi Abolghasemi, Mojtaba Shivaie, Hani Vahedi
2025	J	`jnl`	Predict+Optimize Problem in Renewable Energy Scheduling. IEEE Access Christoph Bergmeir, Frits de Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, 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
2025	Misc	`conf`	Understanding the Asymmetric Impact of Forecast Accuracy on Decision Quality. AusDM Mahdi Abolghasemi, Richard Bean
2024	J	`jnl`	Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment. CoRR Matthew Colwell, Mahdi Abolghasemi
2024	J	`jnl`	Local vs. Global Models for Hierarchical Forecasting. CoRR Zhao Yingjie, Mahdi Abolghasemi
2023	—	`conf`	Approximating Solutions to the Knapsack Problem Using the Lagrangian Dual Framework. AI (1) Mitchell Keegan, Mahdi Abolghasemi
2023	J	`jnl`	Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework. CoRR Mitchell Keegan, Mahdi Abolghasemi
2023	J	`jnl`	Detecting inner-LAN anomalies using hierarchical forecasting. CoRR Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai, Asha Rao
2023	J	`jnl`	How to forecast power generation in wind farms? Insights from leveraging hierarchical structure. CoRR Lucas English, Mahdi Abolghasemi
2023	J	`jnl`	Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI. CoRR Mahdi Abolghasemi, Odkhishig Ganbold, Kristian Rotaru
2023	J	`jnl`	The value of point of sales information in upstream supply chain forecasting: an empirical investigation. Int. J. Prod. Res. Mahdi Abolghasemi, Bahman Rostami Tabar, Aris A. Syntetos
2022	J	`jnl`	Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR 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
2022	J	`jnl`	How to predict and optimise with asymmetric error metrics. CoRR Mahdi Abolghasemi, Richard Bean
2022	J	`jnl`	Model selection in reconciling hierarchical time series. Mach. Learn. Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir
2022	J	`jnl`	The intersection of machine learning with forecasting and optimisation: theory and applications. CoRR Mahdi Abolghasemi
2021	J	`jnl`	Forecasting sales with Bayesian networks: a case study of a supermarket product in the presence of promotions. CoRR Muhammad Hamza, Mahdi Abolghasemi, Abraham Oshni Alvandi
2021	J	`jnl`	Hierarchical forecast reconciliation with machine learning. Appl. Soft Comput. Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos
2021	J	`jnl`	How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function. CoRR Mahdi Abolghasemi, Babak Abbasi, Toktam Babaei, Seyedeh Zahra Hosseinifard
2021	J	`jnl`	State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge. CoRR Mahdi Abolghasemi, Rasul Esmaeilbeigi
2020	J	`jnl`	Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion. Comput. Ind. Eng. Mahdi Abolghasemi, Eric J. Beh, Garth Tarr, Richard Gerlach
2020	J	`jnl`	Hierarchical forecast reconciliation with machine learning. CoRR Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos
2020	J	`jnl`	Model selection in reconciling hierarchical time series. CoRR Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir
2019	J	`jnl`	Machine learning applications in time series hierarchical forecasting. CoRR Mahdi Abolghasemi, Rob J. Hyndman, Garth Tarr, Christoph Bergmeir