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ORCIDMahdi Abolghasemi
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Journal Articles
- 2023
[j4]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): 2162-2177 (2023)- 2022
- [j3]Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir:
Model selection in reconciling hierarchical time series. Mach. Learn. 111(2): 739-789 (2022) - 2021
- [j2]Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos:
Hierarchical forecast reconciliation with machine learning. Appl. Soft Comput. 112: 107756 (2021) - 2020
- [j1]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: 106380 (2020)
Conference and Workshop Papers
- 2023
- [c1]Mitchell Keegan, Mahdi Abolghasemi:
Approximating Solutions to the Knapsack Problem Using the Lagrangian Dual Framework. AI (1) 2023: 455-467
Data and Artifacts
- 2020
- [d8]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Wind Power Dataset (4 Seconds Observations). Version 1. Zenodo, 2020 [all versions]
- [d7]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Solar Power Dataset (4 Seconds Observations). Version 1. Zenodo, 2020 [all versions] - [d6]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Wind Farms Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d5]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Wind Farms Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d4]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Farms Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d3]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Farms Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d2]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Solar Power Dataset (4 Seconds Observations). Version 2. Zenodo, 2020 [all versions] - [d1]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Power Dataset (4 Seconds Observations). Version 2. Zenodo, 2020 [all versions]
Informal and Other Publications
- 2024
- [i13]Matthew Colwell, Mahdi Abolghasemi:
Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment. CoRR abs/2404.14635 (2024) - 2023
- [i12]Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai, Asha Rao:
Detecting inner-LAN anomalies using hierarchical forecasting. CoRR abs/2304.13941 (2023) - [i11]Lucas English, Mahdi Abolghasemi:
How to forecast power generation in wind farms? Insights from leveraging hierarchical structure. CoRR abs/2308.03472 (2023) - [i10]Mitchell Keegan, Mahdi Abolghasemi:
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework. CoRR abs/2312.03413 (2023) - 2022
- [i9]Mahdi Abolghasemi:
The intersection of machine learning with forecasting and optimisation: theory and applications. CoRR abs/2211.13583 (2022) - [i8]Mahdi Abolghasemi, Richard Bean:
How to predict and optimise with asymmetric error metrics. CoRR abs/2211.13586 (2022) - [i7]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 abs/2212.10723 (2022) - 2021
- [i6]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 abs/2105.06618 (2021) - [i5]Mahdi Abolghasemi, Rasul Esmaeilbeigi:
State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge. CoRR abs/2112.03595 (2021) - [i4]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 abs/2112.08706 (2021) - 2020
- [i3]Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos:
Hierarchical forecast reconciliation with machine learning. CoRR abs/2006.02043 (2020) - [i2]Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir:
Model selection in reconciling hierarchical time series. CoRR abs/2010.10742 (2020) - 2019
- [i1]Mahdi Abolghasemi, Rob J. Hyndman, Garth Tarr, Christoph Bergmeir:
Machine learning applications in time series hierarchical forecasting. CoRR abs/1912.00370 (2019)
Coauthor Index
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