Mahdi Abolghasemi

According to our database, Mahdi Abolghasemi authored at least 28 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Design and Analysis of a Novel Two-Switch Transformerless High Step-Up DC-DC Converter for Grid-Connected Renewable Energy Sources.

Iman Soltani, Mahdi Abolghasemi, Mojtaba Shivaie, Hani Vahedi

IEEE Access, 2025

Predict+Optimize Problem in Renewable Energy Scheduling.

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

IEEE Access, 2025

Understanding the Asymmetric Impact of Forecast Accuracy on Decision Quality.

Mahdi Abolghasemi, Richard Bean

Proceedings of the Data Science and Machine Learning, 2025

2024

Local vs. Global Models for Hierarchical Forecasting.

Zhao Yingjie, Mahdi Abolghasemi

CoRR, 2024

Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment.

Matthew Colwell, Mahdi Abolghasemi

CoRR, 2024

2023

The value of point of sales information in upstream supply chain forecasting: an empirical investigation.

Mahdi Abolghasemi, Bahman Rostami Tabar, Aris A. Syntetos

Int. J. Prod. Res., April, 2023

Humans vs Large Language Models: Judgmental Forecasting in an Era of Advanced AI.

Mahdi Abolghasemi, Odkhishig Ganbold, Kristian Rotaru

CoRR, 2023

How to forecast power generation in wind farms? Insights from leveraging hierarchical structure.

Lucas English, Mahdi Abolghasemi

CoRR, 2023

Detecting inner-LAN anomalies using hierarchical forecasting.

Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai, Asha Rao

CoRR, 2023

Approximating Solutions to the Knapsack Problem Using the Lagrangian Dual Framework.

Mitchell Keegan, Mahdi Abolghasemi

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Model selection in reconciling hierarchical time series.

Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir

Mach. Learn., 2022

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.

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

CoRR, 2022

How to predict and optimise with asymmetric error metrics.

Mahdi Abolghasemi, Richard Bean

CoRR, 2022

The intersection of machine learning with forecasting and optimisation: theory and applications.

Mahdi Abolghasemi

CoRR, 2022

2021

Forecasting sales with Bayesian networks: a case study of a supermarket product in the presence of promotions.

Muhammad Hamza, Mahdi Abolghasemi, Abraham Oshni Alvandi

CoRR, 2021

State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge.

Mahdi Abolghasemi, Rasul Esmaeilbeigi

CoRR, 2021

How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function.

Mahdi Abolghasemi, Babak Abbasi, Toktam Babaei, Seyedeh Zahra Hosseinifard

CoRR, 2021

Hierarchical forecast reconciliation with machine learning.

Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos

Appl. Soft Comput., 2021

2020

Wind Power Dataset (4 Seconds Observations).

Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso

Dataset, August, 2020

Solar Power Dataset (4 Seconds Observations).

Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso

Dataset, August, 2020

Wind Farms Dataset (with Missing Values).

Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso

Dataset, August, 2020

Wind Farms Dataset (without Missing Values).

Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso

Dataset, August, 2020

Wind Farms Dataset (without Missing Values).

Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi

Dataset, August, 2020

Wind Farms Dataset (with Missing Values).

Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi

Dataset, August, 2020

Solar Power Dataset (4 Seconds Observations).

Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi

Dataset, August, 2020

Wind Power Dataset (4 Seconds Observations).

Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi

Dataset, August, 2020

Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion.

Mahdi Abolghasemi, Eric J. Beh, Garth Tarr, Richard Gerlach

Comput. Ind. Eng., 2020

2019

Machine learning applications in time series hierarchical forecasting.

Mahdi Abolghasemi, Rob J. Hyndman, Garth Tarr, Christoph Bergmeir

CoRR, 2019