Behnam Talebjedi

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/...

Kontakuppgifter

Telefonnummer
+358504782760

Kompetensområde

Pulp and Paper Industry, Computer & Data Science, Machine Learning, Energy systems analysis, Renewable Energy, 214 Mechanical engineering

Forskningsgrupp

  • Energy Conversion and Systems, Postdoctoral Researcher

Publikationer

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

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

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