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共 27284 条记录，以下是81-90 订阅

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Intelligent Energy Management Strategies for Renewable Energy Sources 1

Intelligent Energy Management Strategies for Renewable Energ...

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1st international conference on AIML-Applications for Engineering and Technology, ICAET 2025

作者： Patil, Sangita Deotale, Disha Mali, Ramesh MIT School of Computing MIT ADT University Department of Electrical & Electronics Engineering Pune412201 India MIT School of Computing MIT ADT University Department of Computer Science & Engineering Pune412201 India

ISBN: (纸本)9798350355611

There have been several developments in renewable resources, standby sources of energy, and storage technologies. Because renewable sources are inconsistent, the best method to ensure supply continuity is to combine them with traditional energy to serve mini-grids or the isolated loads that are not linked to the main grid. In hybrid power system, many different energy sources are blended. Every time, effective and efficient Energy Management Strategies (EMS) are necessary when more than a source of energy is employed to supply a given load. This strategy directs the energy flow via the supply chain. This is necessary not just for standalone hybrid systems, but for hybrid power system that are linked to the main network. The intelligent control of hybrid MG has been the subject of a large number of serious research projects. A comprehensive assessment of the approaches used by a number of writers in their research work on applying energy management approaches is conducted. Standalone hybrid energy systems and the hybrid systems those are linked to the electrical grids are examples of these solutions. The aim of this paper is to give summary of various energy management schemes utilized in sustainable hybrid systems. Brief study is conducted for a number of freestanding and grid-linked hybrid system designs in order to make sure and find that which energy management technique that works well and will be applied for one renewable source is not always the best for another. © 2025 IEEE.

关键词： Hybrid power

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Development of Fast Prediction System of User Action for a Fully Autonomous Smart Home System 4

Development of Fast Prediction System of User Action for a F...

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4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Rajalakshmi, N.R. Sharmila, L. Prabu, S. Veeramakali, T. Arulkumaran, G. Chourasia, Pranshu Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu India School of Computing Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur Chennai India School of Computing Srm Institute of Science and Technology Department of Data Science and Business Systems Kattankulathur Chennai India School of Computing and Information Technology Reva University Karnataka Bangalore560064 India

ISBN: (纸本)9798331523923

The HVAC system, energy storage building, distributed power supply, and other equipment are integrated into the scheduling algorithm, which is aimed at reducing household electricity consumption. It is also assumed that users can provide energy to the grid according to their own conditions. Taking electricity cost and comfort level as optimization targets, a home energy optimization control model for the coordinated management of hybrid energy sources is built. A smart scheduling mechanism based on the improved adaptive particle swarm optimization approach is proposed in order to derive the best time intervals for electric appliances, necessary power for the control of the room temperature for every time frame, and power for charging and discharging of the storage battery at various moments. Simulation results show that through the incorporation of distributed photovoltaic power generation, backup storage by battery, and home energy optimization control, the system efficiently balances between user comfort and electricity consumption. This offers great technical support to the development of home energy management systems. By using time-of-use electricity price for energy acquisition and supply, the optimization control goal is minimizing both power use and cost as well as preserving comfort levels. The hybrid energy management's proposed home energy optimization control model uses an adaptive particle swarm optimization algorithm to find the optimal operation schedules of the electrical appliances, the required power for temperature control in a room, and the charge/discharge power level of the storage battery at each time interval. As per the optimization principle, the proposed dynamic programming algorithm converts the multi-stage problem into a sequence of single-stage problems and solves them separately. This method successfully resolves intricate problems that cannot be addressed through greedy algorithms or divide-and-conquer. In this research, management ac

关键词： Decision making

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A Nanoforest-Integrated Microfluidic Cooling Device for High-power Chips 38

A Nanoforest-Integrated Microfluidic Cooling Device for High...

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38th IEEE international conference on Micro Electro Mechanical Systems, MEMS 2025

作者： Zhang, Qirui Wang, Zizhen Guo, Qiming Yang, Huabin Shi, Yizhi Zhou, Na Tian, Xiaoli Mao, Haiyang Institute of Microelectronics The Chinese Academy of Sciences Beijing100029 China University of Chinese Academy of Sciences Beijing100049 China Shandong Key Laboratory of Intelligent Sensing Chip and System Qingdao266100 China

ISBN: (纸本)9798331508890

This work presents a microfluidic device integrated with nanoforests (NFs) designed for cooling high-power chips. In such a device, the superhydrophilic NFs are used to slow down nucleation rate of heat-induced bubbles and reduce the probability of their adhesion to the microchannels. This not only prevents the formation of localized high-temperature spots, but also accelerates bubble transport, and consequently, heat dissipation ability of the cooling device is enhanced. Such a microfluidic device is anticipated to have applications in cooling semiconductor power devices, batteries, micro-processers and others. © 2025 IEEE.

关键词： Microfluidics

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Simulative Analysis of Electric Arc Behavior in Metal Welding with Matlab/Simulink

Simulative Analysis of Electric Arc Behavior in Metal Weldin...

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Intelligent and Innovative technologies in computing, Electrical and Electronics (IITCEE), international conference

作者： Saminath. V Mukti Chaturvedi Arungalai Vendan S BORQS Technologies Bangalore India Department of ECE Dayananda Sagar University Bangalore India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515928

The energy flow between the electrodes in arc welding procedures must be precisely and effectively dynamically controlled to achieve superior weld strength and quality, increased productivity, and reduced fume formation. This highlights the significance of analyzing the electrical properties of the arc used in the material joining process. Delivering steady current and voltage while maintaining exact control over arc characteristics and heat input is the main goal of arc welding power source design. Adaptability to different welding processes, feedback mechanisms for arc stability, and efficiency-enhancing technologies are important design features. power supply configuration circuits can be designed and implemented in MATLAB simulation to analyze circuit behavior, optimize control algorithms, and validate performance before prototyping. This study simulates arc models based on MATLAB/Simulink to determine the arc’s voltage, current, magnetic waveforms, and V-I properties. The system’s architecture guarantees a suitable welding process without compromising the power source. The findings show that the magnetic energy produced by the arc and the variation in inductance during the arcing phase are unique and precise. The process is simulated using actual parameters to find the output values that match the real-time measurement acquired by the hardware setup.

关键词： Inductance power supplies Welding Metals power system stability Stability analysis MATLAB Integrated circuit modeling Voltage control Magnetic circuits

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An Overview of the Use of Artificial Intelligence Techniques to Improve power Quality 3rd

An Overview of the Use of Artificial Intelligence Techniques...

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3rd international conference on Intelligent Systems and Sustainable computing, ICISSC 2023

作者： Baggam, Swathi Rani, R. Sheba School of Engineering Malla Reddy University Hyderabad India

ISBN: (纸本)9789819783540

An extensive analysis of the use of artificial intelligence (AI) approaches to enhance power quality in electrical grids is presented in this paper. In maintaining the power quality there might be many problems like frequency variations harmonic distortions and voltage instability. Conventional approaches to these problems are unable to handle the dynamic and intricate structure of contemporary electrical grids. By facilitating predictive modelling, real-time monitoring, and adaptive control, artificial intelligence (AI) approaches including machine learning, neural networks, and optimization algorithms present intriguing answers. In addition to classifying AI-based methods for improving power quality, this assessment summarises the body of research in the area and highlights problems, trends, and potential future possibility enhancement. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： power grids

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Design of Semiconductor Laser power Supply Operating System Based on Digital Integrated Circuit 14th

Design of Semiconductor Laser Power Supply Operating System ...

引用

14th international conference on Frontier computing, FC 2024

作者： Pan, Jiarui Wang, Zhouxing School of Microelectronics Xidian University Xi’an710000 China

ISBN: (纸本)9789819627936

Semiconductor laser is an important photoelectric device, which is widely used in communication, medical treatment, material processing and other fields. In the process of laser application, the power supply system plays a vital role in its stable and reliable work. As an important optical device, semiconductor laser has been widely used in lidar, optical communication, laser processing and other fields. To ensure that the semiconductor laser can work stably, it needs to be accurately controlled. The traditional control method uses analog circuit, which has poor performance and reliability and high power consumption. Therefore, it is necessary to design a semiconductor laser power operating system based on digital integrated circuit to improve control accuracy and reliability and reduce power consumption. In this paper, theoretical analysis and experimental method are applied to analyze the semiconductor laser power operating system. The experimental results show that the absolute value of the output error measured by the power supply system is 6 mV. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Digital integrated circuits

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Enhancing Smart Grid Security with Quantum Cryptography: A BB84-based Framework 3

Enhancing Smart Grid Security with Quantum Cryptography: A B...

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3rd international conference on Intelligent Data Communication technologies and Internet of Things, IDCIoT 2025

作者： Garg, Shail Gayatri, Yerukola Surya Kausthub, A. Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

The study investigates how quantum cryptography can be employed to improve security in smart grid communication networks. Attempting to use the BB84 QKD protocol, it allows secure creation and management of those cryptographic keys that cannot be broken with the help of quantum and traditional hacking techniques. It depends on symmetric encryption mechanisms like AES to provide high data confidentiality during transmission. Regarding the key management, the system provides a key management server that distributes keys to the grid nodes and performs key updating to ensure control with the managing authority. It also presents reliability under practical conditions through performance analogs such as Quantum Bit Error Rates (QBER), and system latency. This approach shows that quantum cryptography can provide a highly secure and efficient communication network for the next-generation smart grid. © 2025 IEEE.

关键词： Smart power grids

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Optical tunable differentiator based on microring resonator assisted by low-loss superlattice phase change material 2

Optical tunable differentiator based on microring resonator ...

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2nd international conference on Optical Communication and Optical Information Processing, OCOIP 2024

作者： Wu, Ziqi Dong, Yida Zhong, Wentao Shen, Mei Lei, Lei Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province Shenzhen518060 China 518060 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Academy for Advanced Interdisciplinary Studies Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen518000 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

This paper presents a novel microring resonator (MRR)-based all-optical tunable temporal differentiator. By modulating the crystallinity of the ZnS-SiO2/Ge2Sb2Te5 (GST-SL) phase change material (PCM), the coupling regime of the MRR can be precisely adjusted, achieving a differentiation order (α) range of 0.7-1.3. Experimental validation with non-return-to-zero (NRZ) and return-to-zero (RZ) signal types demonstrates a strong alignment with theoretical models, maintaining an error margin below 7.3%, which confirms the device's high adjustability and stability. The proposed tuning mechanism enables low-energy, high-speed optical control of MRR states, contributing to optimized chip area and power consumption. Supported by the unique characteristics of the superlattice structure, this all-optical tunable differentiator offers promising potential for large-scale AI-driven photonic integrated circuits, particularly in applications such as optical analog computing, optical image processing, and optical neural networks. © 2025 SPIE.

关键词： Photonic integrated circuits

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Drone-based Aerial Surveillance and Real-Time Hazardous Gas Leakage Detection System with power BI Dashboard Integration for Enhanced Environmental Safety 6

Drone-based Aerial Surveillance and Real-Time Hazardous Gas ...

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Ramesh, Krithick Balaji Saran, S. Department of Computing Technologies SRM Institute of Science & Technology Chennai India SRM Institute of Science & Technology Chennai India

ISBN: (纸本)9798331522667

This paper focuses on an embedded system for air quality control and hazardous gas detection using multiple sensors to trigger real-time danger alerts. The system employs and integrates gas sensors MQ-2, MQ-3, and MQ-9, temperature, and humidity sensors for assessing many combustible gases including methane, carbon monoxide alcohol smoke and even fire. These sensors send signals to an embedded microcontroller which controls air and environmental quality for the circumferential range. Apart from the gas sensors, a fire sensor has been integrated within the system, improving its efficiency in ascertaining cases of fire outbreak in the presence of gas leakages. In addition to this, power BI works with the system for sensor monitoring and data visualization through the sensors being connected online. The dashboard shows the most important parameters such as the level of gas leakage and the type of gas involved, the temperature of the surroundings, and the humidity. power BI supports how to visualize what is going on at that time to monitor environmental conditions, how bad is the gas leakage, and make quick decisions. The dashboard also helps in looking out for risks by showing past trends of data and carrying out market predictions. The integration of multi-sensor systems with a drone is intensified to outstretch the boundaries even further where remote monitoring of industrial sites, areas that have been hit by disasters, and even of cities, is possible. The drone equipped with the embedded system provides the real time gas leak detection temperature, humidity monitoring and fire threat assessment in environments where the human presence is quite dangerous. This system is also easy, cheap and provides an admirable solution for environmental monitoring on a day to day basis for the sake of public safety, reduction in the response rates to dangerous situations and the encouragement of smart city designs. The research in this study focused on both stationary and mobile w

关键词： Air quality

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Micro-PMU Data-Driven Anomalous Voltage Event Detection for the power Distribution System 12th

Micro-PMU Data-Driven Anomalous Voltage Event Detection for...

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12th international conference on Frontiers of Intelligent computing: Theory and Applications, FICTA 2024

作者： Parameswaran, Saththiyan Dey, Maitreyee Patel, Preeti Department of Computer Science and Applied Computing London Metropolitan University 166–220 Holloway Rd. LondonN7 8DB United Kingdom

ISBN: (纸本)9789819601424

As Distributed Energy Resources become more integrated into the power grid, the complexity and scale of challenges faced by grid operators have increased. The integration of micro-synchrophasors (micro-PMUs) into the grid infrastructure has provided access to high-resolution data, yet analyzing such vast amounts of information presents its own set of obstacles. This study examines thirty days of micro-PMU data from April 2023, employing statistical analysis and unsupervised learning techniques to identify various voltage events over time. Real-world data from grid-connected solar farms in Norfolk, England, are utilized to detect and analyze these voltage events, as well as to explore their distinct patterns. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： power grids

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