SABEREH TAGHDISI RASTKAR

PhD Student

PhD program:: XXXVIII
email: sabereh.taghdisirastkar@uniroma1.it
phone: 3477355674
building: San Pietro in Vincoli (DIET) – Palazzina B - RM032
room: 1° piano (floor)

advisor: prof. Antonello Rizzi

Research: Time series forecasting by machine learning for urban mobility applications

Curriculum: Information and Communication Engineering

Ph.D. start date : November 2022
Ph.D. Advisory Board: prof. Massimo Panella, prof. Michele Scarpiniti, prof. Antonio Cianfrani

Research products

11573/1741741 - 2025 - Seasonality Effect Exploration for Energy Demand Forecasting in Smart Grids

Rastkar, Sabereh Taghdisi; Zendehdel, Danial; Capillo, Antonino; De Santis, Enrico; Rizzi, Antonello - 02a Capitolo o Articolo

book: Studies in Computational Intelligence - (9783031852510; 9783031852527)

11573/1718360 - 2024 - Improving prediction performances by integrating second derivative in microgrids energy load forecasting

Rastkar, Sabereh Taghdisi; Jamili, Saeid; De Santis, Enrico; Rizzi, Antonello - 04b Atto di convegno in volume

conference: 2024 International Joint Conference on Neural Networks (IJCNN) (Yokohama; Japan)

book: 2024 International Joint Conference on Neural Networks (IJCNN) - (9798350359312)

11573/1707823 - 2023 - A comparison between seasonal and non-seasonal forecasting techniques for energy demand time series in smart grids

Rastkar, Sabereh; Zendehdel, Danial; De Santis, Enrico; Rizzi, Antonello - 04b Atto di convegno in volume

conference: 15th International Joint Conference on Computational Intelligence - NCTA 2023 (Rome, Italy)

book: Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA 2023 - (978-989-758-674-3)