[HTML][HTML] A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors

MA Lasemi, A Arabkoohsar, A Hajizadeh… - … and Sustainable Energy …, 2022 - Elsevier
With economic development in the world and growing energy demand, the concept of
sustainable energy has received more attention from energy planners in different energy …

Operation and planning of energy hubs under uncertainty—a review of mathematical optimization approaches

M Jasinski, A Najafi, O Homaee, M Kermani… - Ieee …, 2023 - ieeexplore.ieee.org
Co-designing energy systems across multiple energy carriers is increasingly attracting
attention of researchers and policy makers, since it is a prominent means of increasing the …

Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction

D Lee, SH Lee, N Masoud, MS Krishnan… - Advanced Engineering …, 2022 - Elsevier
In order to accomplish diverse tasks successfully in a dynamic (ie, changing over time)
construction environment, robots should be able to prioritize assigned tasks to optimize their …

A secured energy management architecture for smart hybrid microgrids considering PEM-fuel cell and electric vehicles

X Gong, F Dong, MA Mohamed, OM Abdalla… - Ieee …, 2020 - ieeexplore.ieee.org
This article assesses the energy management of reconfigurable residential smart hybrid
AC/DC microgrids considering the combined heat and power (CHP) loads as well as the …

A coordinated energy management framework for industrial, residential and commercial energy hubs considering demand response programs

SA Mansouri, MS Javadi, A Ahmarinejad… - Sustainable Energy …, 2021 - Elsevier
This paper proposes an energy hub management model for residential, commercial, and
industrial hubs, considering demand response programs (DRPs). The network configuration …

Stochastic planning and operation of energy hubs considering demand response programs using Benders decomposition approach

SA Mansouri, A Ahmarinejad, M Ansarian… - International Journal of …, 2020 - Elsevier
In this paper, an integrated approach for optimal planning and operation of energy hubs is
provided considering the effects of wind energy resources. Inevitable uncertainties of …

Data-driven optimal scheduling of multi-energy system virtual power plant (MEVPP) incorporating carbon capture system (CCS), electric vehicle flexibility, and clean …

TM Alabi, L Lu, Z Yang - Applied energy, 2022 - Elsevier
The zero-carbon multi-energy systems (ZCMES) have received attention due to developed
countries' promulgated carbon–neutral policy. Thus, This paper proposes a deep learning …

Optimal stochastic deployment of heterogeneous energy storage in a residential multienergy microgrid with demand-side management

Z Li, Y Xu, X Feng, Q Wu - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
The optimal deployment of heterogeneous energy storage (HES), mainly consisting of
electrical and thermal energy storage, is essential for increasing the holistic energy …

Probabilistic optimization in operation of energy hub with participation of renewable energy resources and demand response

D Rakipour, H Barati - Energy, 2019 - Elsevier
Optimal operation of energy systems is one of the main challenges in relation to economic
discussions, flexibility and sustainable energy supply of these systems. In this paper, a …

Risk-averse bi-level planning model for maximizing renewable energy hosting capacity via empowering seasonal hydrogen storage

S Zhou, Y Han, AS Zalhaf, M Lehtonen, MMF Darwish… - Applied Energy, 2024 - Elsevier
Renewables (ie, solar and wind power) in the Nordic area have highly seasonal
characteristics, which severely restrict the wide development of renewables since they can …