Data-driven learning-based Model Predictive Control for energy-intensive systems

J Chen, G Xu, Z Zhou - Advanced Engineering Informatics, 2023 - Elsevier
Efficient control of energy-intensive systems is essential for reducing energy consumption
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

K Nagarajan, A Rajagopalan, M Bajaj, V Raju… - Results in …, 2025 - Elsevier
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 …

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 …

Demand response with pricing schemes and consumers mode constraints for energy balancing in smart grids

LG Hua, G Hafeez, B Alghamdi, H Alghamdi, FA Khan… - Applied Energy, 2025 - Elsevier
Demand response (DR) is currently gaining widespread attention because it persuades
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

C Labiod, R Meneceur, A Bebboukha, A Hechifa… - Scientific Reports, 2025 - nature.com
Health monitoring and analysis of photovoltaic (PV) systems are critical for optimizing
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

G Selvaraj, K Rajangam, P Vishnuram, M Bajaj… - Scientific Reports, 2024 - nature.com
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 …

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 …

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 …

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 …