14 citations · 46 across the 14 of their papers we have counts for
15 papers
Improving the forecast accuracy of wind power by leveraging multiple hierarchical structure
Lucas English, Mahdi Abolghasemi
Renewable energy generation is of utmost importance for global decarbonization. Forecasting renewable energies, particularly wind energy, is challenging due to the inherent uncerta…
Detection of Anomalous Network Nodes via Hierarchical Prediction and Extreme Value Theory
Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai +2
Continuously evolving cyber-attacks against industrial networks reduce the effectiveness of signature-based detection methods. Once malware has infiltrated a network (for example,…
Predict+Optimize Problem in Renewable Energy Scheduling
Christoph Bergmeir, Frits de Nijs, Evgenii Genov +25
Predict+Optimize frameworks integrate forecasting and optimization to address real-world challenges such as renewable energy scheduling, where variability and uncertainty are criti…
How to predict and optimise with asymmetric error metrics
Mahdi Abolghasemi, Richard Bean
In this paper, we examine the concept of the predict and optimise problem with specific reference to the third Technical Challenge of the IEEE Computational Intelligence Society. I…
The intersection of machine learning with forecasting and optimisation: theory and applications
Mahdi Abolghasemi
Forecasting and optimisation are two major fields of operations research that are widely used in practice. These methods have contributed to each other growth in several ways. Howe…
The value of point of sales information in upstream supply chain forecasting: an empirical investigation
Mahdi Abolghasemi, Bahman Rostami-Tabar, Aris Syntetos
Traditionally, manufacturers use past orders (received from some downstream supply chain level) to forecast future ones, before turning such forecasts into appropriate inventory an…
Forecasting sales with Bayesian networks: a case study of a supermarket product in the presence of promotions
Muhammad Hamza, Mahdi Abolghasemi, Abraham Oshni Alvandi
Sales forecasting is the prerequisite for a lot of managerial decisions such as production planning, material resource planning and budgeting in the supply chain. Promotions are on…
State-of-the-art predictive and prescriptive analytics for IEEE CIS 3rd Technical Challenge
Mahdi Abolghasemi, Rasul Esmaeilbeigi
In this paper, we describe our proposed methodology to approach the predict+optimise challenge introduced in the IEEE CIS 3rd Technical Challenge. The predictive model employs an e…
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function
Mahdi Abolghasemi, Babak Abbasi, Toktam Babaei +1
Using machine learning in solving constraint optimization and combinatorial problems is becoming an active research area in both computer science and operations research communitie…
Model selection in reconciling hierarchical time series
Mahdi Abolghasemi, Rob J Hyndman, Evangelos Spiliotis +1
Model selection has been proven an effective strategy for improving accuracy in time series forecasting applications. However, when dealing with hierarchical time series, apart fro…
Hierarchical forecast reconciliation with machine learning
Evangelos Spiliotis, Mahdi Abolghasemi, Rob J Hyndman +2
Hierarchical forecasting methods have been widely used to support aligned decision-making by providing coherent forecasts at different aggregation levels. Traditional hierarchical…
Machine learning applications in time series hierarchical forecasting
Mahdi Abolghasemi, Rob J Hyndman, Garth Tarr +1
Hierarchical forecasting (HF) is needed in many situations in the supply chain (SC) because managers often need different levels of forecasts at different levels of SC to make a de…
Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
Mahdi Abolghasemi, Richard Gerlach, Garth Tarr +1
The demand for a particular product or service is typically associated with different uncertainties that can make them volatile and challenging to predict. Demand unpredictability…
Considering pricing and uncertainty in designing a reverse logistics network
Mohsen Zamani, Mahdi Abolghasemi, Seyed Mohammad Seyed Hosseini +1
Companies try to maximize their profits by recovering returned products of highly uncertain quality and quantity. In this paper, a reverse logistics network for an Original Equipme…
Demand Forecasting in the Presence of Systematic Events: Cases in Capturing Sales Promotions
Mahdi Abolghasemi, Ali Eshragh, Jason Hurley +1
Reliable demand forecasts are critical for the effective supply chain management. Several endogenous and exogenous variables can influence the dynamics of demand, and hence a singl…