Behnam Talebjedi
Postdoctoral Researcher
Postdoctoral Researcher
T212 Mechanical Engineering
Data & Computer Science - Advanced Machine Learning Methods - Optimization - Reliability & Risk Assessment - Energy Simulation & Modeling - Pulp &Paper Industry - Forest Industry - Energy Technology - Renewable Energy.
Full researcher profile
https://research.aalto.fi/...
Areas of expertise
Pulp and Paper Industry, Computer & Data Science, Machine Learning, Energy systems analysis, Renewable Energy, 214 Mechanical engineering
Research groups
- Energy Conversion and Systems, Postdoctoral Researcher
Publications
Solid oxide fuel cells
Ali Khosravi, Behnam Talebjedi, Juan Garcia Pabon, Mamdouh El Haj Assad
2023
The Fundamentals of Thermal Analysis
Advanced design and operation of Energy Hub for forest industry using reliability assessment
Behnam Talebjedi, Timo Laukkanen, Henrik Holmberg, Sanna Syri
2023
Applied Thermal Engineering
Parametric Models for Forest Industry Transformation in Energy Efficiency: Machine Learning Approach
Behnam Talebjedi
2023
Thermoelectric generators (TEGs)
Behnam Talebjedi, Ali Khosravi, Mamdouh El Haj Assad
2023
The Fundamentals of Thermal Analysis
Advanced energy-saving optimization strategy in thermo-mechanical pulping by machine learning approach
B. Talebjedi, T. Laukkanen, H. Holmberg, E. Vakkilainen, S. Syri
2022
Nordic Pulp & Paper Research Journal
Machine Learning-Aided Microdroplets Breakup Characteristic Prediction in Flow-Focusing Microdevices by Incorporating Variations of Cross-Flow Tilt Angles
Bahram Talebjedi, Ali Abouei Mehrizi, Behnam Talebjedi, Seyed Sepehr Mohseni, Nishat Tasnim, Mina Hoorfar
2022
Langmuir
Electricity demand time series forecasting based on empirical mode decomposition and long short-term memory
Saman Taheri, Behnam Talebjedi, Timo Laukkanen
2021
Energy Engineering: Journal of the Association of Energy Engineering
Availability analysis of an Energy Hub with CCHP system for economical design in terms of Energy Hub operator
B. Talebjedi, A. Behbahaninia
2021
Journal of Building Engineering
Energy Efficiency Analysis of the Refining Unit in Thermo-Mechanical Pulp Mill
Behnam Talebjedi, Timo Laukkanen, Henrik Holmberg, Esa Vakkilainen, Sanna Syri
2021
Energies
Energy simulation and variable analysis of refining process in thermo-mechanical pulp mill using machine learning approach
B. Talebjedi, T. Laukkanen, H. Holmberg, E. LUT, S. Syri
2021
MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS