Mahdi Abolghasemi

23 papers Misc 1Journal 21Unranked 1
YearRankTypeTitle / 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
redb/ext/rich_header.py
← Index redb/ext/rich_header.py python 
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# adapted from mirar's implementations for
# https://www.sweetscape.com/010editor/repository/files/EXE.bt
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