Data-driven learning-based Model Predictive Control for energy-intensive systems
Efficient control of energy-intensive systems is essential for reducing energy consumption
and realizing sustainable development. However, considering the complex inter-dependent …
and realizing sustainable development. However, considering the complex inter-dependent …
[HTML][HTML] Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems
In this study, the authors propose the Enhanced Wombat Optimization Algorithm (EWOA) as
a solution for the optimal power flow (OPF) issue that occurs in transmission networks. With …
a solution for the optimal power flow (OPF) issue that occurs in transmission networks. With …
Advanced control strategy for AC microgrids: a hybrid ANN-based adaptive PI controller with droop control and virtual impedance technique
S Adiche, M Larbi, D Toumi, R Bouddou, M Bajaj… - Scientific Reports, 2024 - nature.com
In this paper, an improved voltage control strategy for microgrids (MG) is proposed, using an
artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined …
artificial neural network (ANN)-based adaptive proportional-integral (PI) controller combined …
Demand response with pricing schemes and consumers mode constraints for energy balancing in smart grids
Demand response (DR) is currently gaining widespread attention because it persuades
consumers to participate actively in the electricity market, intending to balance power …
consumers to participate actively in the electricity market, intending to balance power …
Enhanced photovoltaic panel diagnostics through AI integration with experimental DC to DC Buck Boost converter implementation
Health monitoring and analysis of photovoltaic (PV) systems are critical for optimizing
energy efficiency, improving reliability, and extending the operational lifespan of PV power …
energy efficiency, improving reliability, and extending the operational lifespan of PV power …
Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance
Microgrids (MGs) have gained significant attention over the past two decades due to their
advantages in service reliability, easy integration of renewable energy sources, high …
advantages in service reliability, easy integration of renewable energy sources, high …
Advancements in arithmetic optimization algorithm: theoretical foundations, variants, and applications
V Kumar - Multimedia Tools and Applications, 2024 - Springer
Arithmetic optimization algorithm (AOA) is a population-based metaheuristic algorithm that
mimics the properties of primitive arithmetic operators. Researchers were attracted to AOA …
mimics the properties of primitive arithmetic operators. Researchers were attracted to AOA …
RETRACTED ARTICLE: A Hierarchical Algorithm Model for the Scheduling Problem of Cold Chain Logistics Distribution Vehicles Based on Machine Vision
Y Sun - International Journal of Computational Intelligence …, 2023 - Springer
With the continuous development of the market economy, the professional degree of the
logistics industry is constantly improving, while the logistics distribution industry is also …
logistics industry is constantly improving, while the logistics distribution industry is also …
Application of Digital Sustainable Engineering Technology in the System of Smart Grid Construction
G Li - 2024 International Conference on Power, Electrical …, 2024 - ieeexplore.ieee.org
Intelligent networks are an important trend in the development of the energy industry today.
Based on new energy technologies and advanced control technologies, improving energy …
Based on new energy technologies and advanced control technologies, improving energy …