Results 41 to 50 of about 1,433 (210)

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

Harmonic elimination of a fifteen‐level inverter with reduced number of switches using genetic algorithm

IET Power Electronics, EarlyView., 2023
This article presents a Fifteen‐level inverter topology that has a lesser number of switches (12) and can accommodate isolated DC sources. The total harmonic elimination (THD) of the proposed topology using genetic algorithm is within the IEEE 519 standards. Further, the fifteen‐level inverter is implemented in Hardware and firing pulses were generated
Yogesh Joshi, Shimi Sudha Letha, Farhad Ilahi Bakhsh, Gopal Lal Jaat, Suyash Tilak   +4 more
wiley   +1 more source

Advanced Virtual Impedance for Power‐Sharing Improvement in Microgrids Using Different SOGI Methods: A Comparative Study

Energy Technology, EarlyView.
Advanced virtual impedance control integrating multiple second‐order generalized integrator (SOGI) variants—SOGI, ESOGI, MSOGI, and DSOGI—enhances power and harmonic sharing accuracy in islanded microgrids. The comparative study quantifies performance–complexity trade‐offs, demonstrating up to 65% total harmonic distortion (THD) reduction and improved ...
Camelia Ait Hammouda, Abdellah Benallal, Rafik Bradai, Adrian Ilinca   +3 more
wiley   +1 more source

Techno‐Economic Analysis of Solar‐Wind Hybrid Systems for Green Hydrogen Production in South Africa, KwaZulu‐Natal Province

Energy Science &Engineering, EarlyView.
ABSTRACT Rising global energy demand and the climate crisis have intensified the pursuit of renewable energy, with green hydrogen emerging as a key alternative to fossil fuels. South Africa, heavily reliant on coal‐based energy, faces pressure to decarbonize and transition to a green economy.
Sandile Mtolo, Sudesh Rathilal, Nomcebo Happiness Mthombeni, Katleho Moloi, Emmanuel Kweinor Tetteh   +4 more
wiley   +1 more source

Hydrogen Fuel Cell Technologies for Decarbonization: Opportunities, Challenges, and Strategic Pathways—A Comprehensive Review

Energy Science &Engineering, EarlyView.
ABSTRACT Hydrogen (H2) fuel cells are increasingly recognized as a cornerstone technology in the global transition toward clean energy due to their high efficiency and zero‐emission characteristics. This review synthesizes recent progress, challenges, and strategic pathways for the deployment of H2 fuel cells across the transportation, power generation,
Yash Sachin Gupta, Aarav Sachin Gupta, Rajkumar Sivanraju, K. R. Padmavathi, Ashok Kumar R., Prajith Prabakar   +5 more
wiley   +1 more source

Simulations of Photovoltaic Systems on Different Types of Ships in Sweden: Solar Energy Generation, Comparison to Energy Consumption, and Reduction of CO2 Emission

Energy Science &Engineering, EarlyView.
Investigation of the potential of using solar cells on different types of ships, to see how it reduces energy consumption and emissions of carbon dioxide (CO2). From the reduction in fuel consumption, the fuel cost reduction was estimated, and an approximate payback time for the solar cell system was calculated.
Joachim Wallenstein, Joanne Ellis, Erik M. J. Johansson   +2 more
wiley   +1 more source

High‐Fidelity Simulation‐Driven Control Framework for Robust Grid Integration of Renewable Energy Systems

Energy Science &Engineering, EarlyView.
This work proposes a high‐fidelity, simulation‐driven control framework for robust grid integration of hybrid PV–wind systems using a modular, hierarchical multi‐loop architecture with adaptive decision logic. The framework coordinates power, DC‐link voltage, and grid currents under fast load and generation changes, enabling safe exploration of extreme
Wulfran Fendzi Mbasso, Ambe Harrison, Idriss Dagal, Pradeep Jangir, Zhe Liu, Aseel Smerat   +5 more
wiley   +1 more source

Bi‐Level Coordination of Demand Response and Multiple Virtual Power Plants in a Distribution Network for Flexibility Assessment

Energy Science &Engineering, EarlyView.
This study presents a hierarchical coordination framework where multiple VPPs interact with the DSO to optimize energy trades and flexibility offers. Each VPP aggregates DERs and DR, performing internal optimization, day‐ahead bidding, and assessing flexibility to reduce excess renewable generation and pollution.
Alireza Zare, Mohammad Agha Shafiyi, Mehrdad Setayesh Nazar, Miadreza Shafie‐khah, Pierluigi Siano   +4 more
wiley   +1 more source

Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm

Energy Science &Engineering, EarlyView.
This study introduces an integrated optimization framework using a binary genetic algorithm (BGA) for optimal siting and sizing of two solar plants (865 and 739 kWp) in Karaj, Iran. The BGA outperformed conventional methods, achieving a 24.3% reduction in power losses and enhanced voltage stability.
Mehrab Shahbazi, Reza Eslami
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source