Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors
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 …
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
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 …
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
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 …
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
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 …
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
This paper proposes an energy hub management model for residential, commercial, and
industrial hubs, considering demand response programs (DRPs). The network configuration …
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
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 …
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 …
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 …
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
The optimal deployment of heterogeneous energy storage (HES), mainly consisting of
electrical and thermal energy storage, is essential for increasing the holistic energy …
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 …
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
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 …
characteristics, which severely restrict the wide development of renewables since they can …