Multi-objective genetic algorithm based sizing optimization of a stand-alone wind/PV power supply system with enhanced battery/supercapacitor hybrid energy …
The present paper proposes a new approach to optimize the sizing of a multi-source
PV/Wind with Hybrid Energy Storage System (HESS). Hence, a developed modeling of all …
PV/Wind with Hybrid Energy Storage System (HESS). Hence, a developed modeling of all …
Solving the combined heat and power economic dispatch problems by an improved genetic algorithm and a new constraint handling strategy
This paper presents an improved genetic algorithm using novel crossover and mutation (IGA-
NCM) to solve the combined heat and power economic dispatch (CHPED) problems. The …
NCM) to solve the combined heat and power economic dispatch (CHPED) problems. The …
Recent approaches of forecasting and optimal economic dispatch to overcome intermittency of wind and photovoltaic (PV) systems: A review
Renewable energy sources (RESs) are the replacement of fast depleting, environment
polluting, costly, and unsustainable fossil fuels. RESs themselves have various issues such …
polluting, costly, and unsustainable fossil fuels. RESs themselves have various issues such …
A novel multi-objective optimization based multi-agent deep reinforcement learning approach for microgrid resources planning
Multi-agent deep reinforcement learning (MADRL) approaches are at the forefront of
contemporary research in optimum electric vehicle (EV) charging scheduling challenges …
contemporary research in optimum electric vehicle (EV) charging scheduling challenges …
Optimal allocation of hybrid energy storage systems for smoothing photovoltaic power fluctuations considering the active power curtailment of photovoltaic
W Ma, W Wang, X Wu, R Hu, F Tang, W Zhang… - IEEE …, 2019 - ieeexplore.ieee.org
Hybrid energy storage systems (HESSs) have become an effective solution for smoothing
the active power variations of photovoltaic (PV). In order to reduce the required capacities …
the active power variations of photovoltaic (PV). In order to reduce the required capacities …
Improved off‐grid wind/photovoltaic/hybrid energy storage system based on new framework of Moth‐Flame optimization algorithm
This paper suggests a new sizing optimization method of an off‐grid renewable energy
system. To perform an accurate analysis of the distribution of the exchanged energy with all …
system. To perform an accurate analysis of the distribution of the exchanged energy with all …
Methanol steam reforming performance optimisation of cylindrical microreactor for hydrogen production utilising error backpropagation and genetic algorithm
To optimise methanol steam reforming performance of cylindrical microreactor for hydrogen
production, an error backpropagation algorithm was used to build a mathematical model for …
production, an error backpropagation algorithm was used to build a mathematical model for …
The perceived value of human-AI collaboration in early shape exploration: An exploratory assessment
A Arias-Rosales - PloS one, 2022 - journals.plos.org
As a vital element of early shape exploration, divergence can be time-consuming and
challenging, with iterative cycles where idea fixation and creative blocks must be overcome …
challenging, with iterative cycles where idea fixation and creative blocks must be overcome …
Impact and economic assessment on solar PV mirroring system–A feasibility report
This paper presents a review of existing PV augmented mirroring schemes along with an
enhanced energy extraction scheme for an existing solar PV system. Here, an array of plane …
enhanced energy extraction scheme for an existing solar PV system. Here, an array of plane …
Enhanced electrical performance in a solar photovoltaic module using V-trough concentrators
The electrical performance of a novel solar photovoltaic collector fabricated by lamination of
silicon PV cells onto a copper metal sheet using EVA as the bond material and adding a …
silicon PV cells onto a copper metal sheet using EVA as the bond material and adding a …