Results 41 to 50 of about 117,250 (304)

Federated reinforcement learning with constrained markov decision processes and graph neural networks for fair and grid-constrained coordination of large-scale electric vehicle charging networks

Scientific Reports
The rapid proliferation of electric vehicles (EVs) and their spatially clustered charging behaviors have imposed unprecedented challenges on the stability, efficiency, and fairness of power distribution networks.
Lixia Zhou, Dawei Huo, Jian Chen, Bo Bo, Hao Li   +4 more
doaj   +1 more source

Conceptual Design of IoT-Based AMR Systems Based on IEC 61850 Microgrid Communication Configuration Using Open-Source Hardware/Software IED

Energies, 2019
This paper presents an intelligent electronic device (IED) utilized for automatic meter readings (AMR) scheme using “Open-Source” software. This IED is utilized to measure a low-voltage intelligent electronic device) system with a boundless ...
Dragan Mlakić, Hamid Reza Baghaee, Srete Nikolovski, Marko Vukobratović, Zoran Balkić   +4 more
doaj   +1 more source

The Analysis of Current Variation on the Electrical Energy Measurement [PDF]

Advances in Engineering Research, 2016
As a special commodity, electricity has the characteristics of the being produced and used at the same time and it is not physical visible. In order to avoid the loss in circulation of electricity, we should have a thorough understanding and accurate recognition of "power". The watt-hour meter measuring power depends on the product of voltage, current,
Xinhua Zhao, Ying Zhu, Huiyan Cao, Jing Jin, Xue Wang, Lei Wang, Mei Xu, Xinnan Xie, Xiaoshu Zhang, Min Liu, Ling Guan   +10 more
openaire   +1 more source

Innovative Processing of Compacted Waste Aluminum Alloy Powders via Controlled Remelting and Solidification

Advanced Engineering Materials, EarlyView.
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira, Marcella Gaute Cavalcante Xavier, Abdoul‐Aziz Bogno, Piter Gargarella, José Eduardo Spinelli   +4 more
wiley   +1 more source

Research on anomaly detection and correction of power metering data based on machine learning algorithm

Science and Technology for Energy Transition
Electric energy measurement is the basis of marketization of electric energy. If the power metering device is abnormal, it will directly affect the economic interests of both sides.
Sida Zheng, Meiying Zhu, Ying Liu
doaj   +1 more source

Analysis of Present State of the Digital Power Meter Field Calibration Technology

MATEC Web of Conferences, 2016
As one of the most important measurement equipment of the intelligent substation, digital electric energy meter fundamentally resolved the technical bottleneck of traditional substation.
Xu Yi-Hui, Li Zhen-hua
doaj   +1 more source

An Optimization Framework for Comparative Analysis of Multiple Vehicle Powertrains [PDF]

, 2013
With a myriad of alternative vehicle powertrain architectures emerging in the industry, such as electric vehicles and hybrid electric vehicles, it is beneficial that the most appropriate system is chosen for the desired vehicle class and duty cycle, and ...
Francis Assadian, Stefano Longo, Mohan, Ganesh, Assadian, Francis, Longo, Stefano, Ganesh Mohan   +5 more
core   +1 more source

A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection

Advanced Engineering Materials, EarlyView.
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan, Shuvra Saha, Sumit Hassan Eshan, Rinku Basak, Md. Nahian Al Subri Ivan, Ahmed Murtuza Saleque, Raja Tariqul Hasan Tusher, Sadia Zabin, Md. Abdur Rahman, Yuen Hong Tsang   +9 more
wiley   +1 more source

Resilience and flexibility optimization in solar integrated power systems via deep Q network under extreme weather

Scientific Reports
This paper presents a novel reinforcement learning-based optimization framework utilizing a Deep Q-Network (DQN) for decision-making in dynamic power system environments.
Da Li, Haixing Zheng, Tingzhe Pan
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source