Browsing by Author "Bagheri, Farzaneh"

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Citation - WoS: 5
Citation - Scopus: 5
Electrical Energy Demand Prediction: A Comparison Between Genetic Programming and Decision Tree
(GAZI UNIV, 2020) Ali Danandeh Mehr; Farzaneh Bagheri; Mir Jafar Sadegh Safari; Mehr, Ali Danandeh; Safari, Mir Jafar Sadegh; Danandeh Mehr, Ali; Bagheri, Farzaneh
Several recent studies have used various data mining techniques to obtain accurate electrical energy demand forecasts in power supply systems. This paper for the first time compares the efficiency of the decision tree (DT) and classic genetic programming (GP) data mining models developed for electrical energy demand forecasting in Nicosia Northern Cyprus. The models were trained and tested using daily electricity consumptions measured during the period 2011-2016 and were compared in terms of three statistical performance indices including coefficient of determination mean absolute percentage error and concordance coefficient. The prediction results showed that the proposed models can be effectively applied to forecasts of electrical energy demand. The results also indicated that the GP is slightly superior to DT in terms of the performance indices.
Model Digital Twin Based Tool for Techno-Economic Analysis of Parabolic Trough Plant with Storage for Integration into Electrical Distribution Network
(Institute of Electrical and Electronics Engineers Inc., 2025) Farzaneh Bagheri; L. J. Yebra; Şafak Baykal; Fatma Nur Vurgec; Rabia Nur Kalem; Cagdas Akarsu; Kardelen Kamisli; Ömer Abaci; Emin Selahattin Umdu; Umdu, Emin Selahattin; Kalem, Rabia Nur; Vurgec, Fatma Nur; Akarsu, Cagdas; Baykal, Safak; Yebra, Luis J.; Bagheri, Farzaneh
This paper presents a Digital Twin analysis of a solar parabolic trough collector (PTC) plant focusing on its integration into electrical distribution networks within the framework of Concentrated Solar Power (CSP). As renewable energy integration becomes increasingly vital innovative methods are necessary to optimize network planning and enhance hosting capacity. This study centered on the TCP-100 facility of Plataforma Solar de Almería (CIEMAT) utilizes advanced modeling simulation techniques and real-time data analytics. The DT framework allows for a comprehensive assessment of the plant's performance under various conditions identifying optimal operating parameters and addressing CSP-specific integration challenges. By exploring the interaction between the concentrated solar plants and the electrical distribution network challenges the research aims to maximize power utilization efficiency while ensuring grid stability. Key contributions include the development of a specialized test tool for CSP integration validated through real-world application within Turkey's GDZ network. © 2025 Elsevier B.V. All rights reserved.