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application and Optimization Study of ARIMA Model in Electricity Prosperity Index Forecasting 24

Application and Optimization Study of ARIMA Model in Electri...

引用

5th international conference on computer Science and Management Technology, ICCSMT 2024

作者： Chen, Peiguang Li, Boqiang Peng, Zepu Wang, Yong Chu, Yunfei Gao, Hongyao Dong, Jizhe Economic and Technology Research Institute State Grid Jilin Electric Power Co. Ltd. Jilin Changchun China North China Electric Power University Beijing China Changchun University of Technology Jilin Changchun China

ISBN: (纸本)9798400709999

With the close connection between economic growth and electricity demand, how to predict the economic development trend through electricity data has become a key issue in power system planning. Therefore, this study proposes the "Electricity Prosperity Index" (EPI), which aims to quantify the correlation between electricity data and economic development, and to provide a forward-looking economic forecasting index. Based on this, this study applies and optimizes the ARIMA model to predict the power prosperity index. Firstly, the power prosperity index is constructed, and the data source, feature extraction and processing methods are systematically elaborated;then, the precision and stability of its prediction of economic development trend are improved by the parameter optimization and model structure adjustment of the ARIMA model. The experimental results show that the optimized ARIMA model can accurately predict the power prosperity index, better reflect the future economic development trend, and provide a scientific basis for the forward-looking planning of the power system. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Prediction models

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Analysing Artificial Intelligence's Effect on Improving Electrical Engineering Management and Education 1

Analysing Artificial Intelligence's Effect on Improving Elec...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Chawla, Namita Rane, Dattatraya Pandurang Nath, Reena Partha Anute, Nilesh Bhinge, Monalisa Gawhale, Sumita MCA PCET's Pimpri Chinchwad University Pune India SNDT Women's University's Maharshi Karve Model College for Women Maharashtra Shriwardhan Raigad India Sinhgad Institute of Business Administration and Computer Application Lonavala Pune India ASM'S Institute of Business Management and Research Pune India Sinhgad Institute of Mangaement Pune India

ISBN: (纸本)9798331518578

In the field of electrical engineering, artificial intelligence (AI) has become a game-changing instrument that is transforming management and education. This study examines the various ways AI can improve project management, educational strategies, and electrical engineering procedures. Through the use of predictive analytics, resource allocation optimisation, and real-time electrical system recording, AI-powered systems in management improve decision-making. These elements ensure the drawn-out execution of undertakings, enormously decline margin time, and increment functional viability. Through virtual labs, modern showing structures, and customized opportunities for growth, simulated intelligence driven advancements are reforming instructing and learning draws near. Calculations for versatile learning fulfill the needs of every individual student and give a more profound understanding of complex electrical designing thoughts. Moreover, by giving understudies genuine encounter without the limits of actual gear, virtual labs and recreation apparatuses assist with shutting the hole among hypothetical comprehension and certifiable application. To completely use computer-based intelligence, this concentrate likewise examines issues that should be settled, including information insurance, moral worries, and the abilities hole. Electrical designing can possibly arrive at up 'til now unfathomable degrees of imagination, effectiveness, and availability through the joining of man-made intelligence in administration and training. The outcomes feature how significant computer-based intelligence will be in moving electrical designing improvements later on, making the way for additional shrewd frameworks and profoundly qualified specialists. A worldview change is shown by the joint effort among artificial intelligence and electrical designing administration and schooling, which will make the field more powerful, versatile, and in accordance with the necessities of a world that

关键词： Resource allocation

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An Overview of Telemedicine: Evolution, application, Challenges and Future Direction 3

An Overview of Telemedicine: Evolution, Application, Challen...

引用

3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Kawde, Dhanshri Gourshettiwar, Palash Datta Meghe Institute of Higher Education and Research Faculty of Engineering and Technology Department of Computer Science and Engineering Sawangi Maharashtra Wardha442001 India Datta Meghe Institute of Higher Education and Research Faculty of Engineering and Technology Department of Computer Science and Medical Engineering Sawangi Maharashtra Wardha442001 India

ISBN: (纸本)9798331509675

Telemedicine is of great importance as it increases the availability of health care for people living in remote or undeveloped areas. It reduces the cost of health care, allows for early diagnosis and treatment of chronic conditions, and saves time for both patients and healthcare providers. Telemedicine also ensures continuity of care in situations like pandemics while reducing reducing the need for face-to-face consultations can reduce the chance of catching contagious diseases.. This innovation will combine wearable devices and artificial intelligence with personalized care and mental health support. This way, healthcare services would be available and efficient for everyone around the world. However, technological challenges include those stemming from poor system architecture, poor connectivity limitation in diagnosis from a physical examination privacy issues among others and diverse legal regulations. Lack of access and integration into mainstream health systems are also among the causes of discontinuities in care. Overcoming such barriers is critical, and telemedicine needs to be easy to integrate into mainstream frameworks for better access, equity, and health outcome. © 2025 IEEE.

关键词： Telemedicine

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A Practical Approach to Data Digitalization application for Boosting Production Enhancement Activities in Malaysia's Aging Brown Fields Following the Feasibility Study of Electrical Submersible Pump at the National Level

A Practical Approach to Data Digitalization Application for ...

引用

2025 international Petroleum Technology conference, IPTC 2025

作者： Segaran, T. Chandra Sidek, M.A.M. Trjangganung, K. Kamaruddin, I.I. Ahnap, M.A.S. Universiti Teknologi Malaysia Johor Skudai Malaysia Mise Energy Sdn. Bhd. Kuala Lumpur Malaysia

ISBN: (纸本)9781959025436

With over 80% of Malaysia's fields relying on gas lift, a late life crisis is evident, prompting secondary and tertiary production enhancements to sustain oil production. Challenges like gas lift gas shortages, aging facilities, and increased water cut possess efficient oil recovery limitations, which fueled the demand for an alternative lift technology in offshore Malaysia brown fields. However, replacing a gas lift system is a tedious task. This study proposes an automated screening method swiftly identify candidates, reducing the time and workforce needed to select from hundreds of wells and streamlining production optimization activities for brown fields selected in offshore Malaysia. This data input and analysis automation system will be tested with data from multiple fields to pre-screen the strings and establish a basket of opportunities before proceeding with screening using well modeling. From the vast number of attributes used in this study, essential parameters that will be used for candidate screening have been identified. The automation of this data for screening enables narrowing down the number of potential candidates for modeling and detailed analysis. Electrical submersible pump (ESP) design and economic analysis will be done once the candidate has been finalized through well modelling. Critical parameters such as remaining reserve, absolute open flow, well angle, dog leg severity, the latest liquid rate, the latest oil rate, the latest water cut, the latest gas oil ratio, sand count and identified integrity issues are essential for a production enhancement activity. By digitalizing this data, automation will ease the path to identify a pool of production enhancement candidates out of hundreds of strings in a field. The identified candidate will proceed to the maturation process where well modeling, design, and economic analysis will be conducted. This process saves time and increases the number of candidates available for production enhancement act

关键词： Gas lifts

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Research on agricultural residue detection and traceability system based on internet of things and blockchain 5

Research on agricultural residue detection and traceability ...

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5th international conference on Signal Processing and computer Science, SPCS 2024

作者： Wang, Meng Hu, Feng Chen, Dandan Zhao, Qing Qin, Yilang Yang, Zhangqing Li, Guoqiang Institute of Agricultural Information Technology Henan Academy of Agricultural Sciences Henan Zhengzhou450002 China Key Laboratory of Huang-Huai-Hai Smart Agricultural Technology Ministry of Agriculture and Rural Affairs Henan Zhengzhou450002 China Henan Engineering and Technology Research Center for Intelligent Agriculture Henan Zhengzhou450002 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

In the face of serious centralization of the pesticide residue detection platform system structure for agricultural products, difficulty in ensuring the authenticity of detection results, and low confidence in the traceability information chain, a pesticide residue detection traceability system based on internet of things technology and blockchain is constructed to meet the changing needs. The pesticide residue detection and traceability system consists of two main parts: agricultural product pesticide residue embedded detection equipment and blockchain based traceability system. Based on the Internet of Things and blockchain technology, a one-time unique detection code is generated as the task authorization basis for single detection. The detection results adopt a dual storage design of storing traceability hash values on the traceability information chain off chain, and a microservice platform is built using PAAS architecture and HTML5 technology. In addition, the Apriori algorithm is used to construct a pesticide residue risk warning model. This system has achieved reliable collection, transmission, and traceability of pesticide residue detection data for agricultural products. Consumers can obtain agricultural product detection information through traceability source code, effectively solving the problem of low confidence and authenticity of pesticide residue detection data. It has high application value in the construction of agricultural product quality and safety. © 2025 SPIE.

关键词： Insecticides

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IoT-based Environmental Monitoring system 3

IoT-based Environmental Monitoring System

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

作者： Abhiram, D. Dhanush Reddy, K. Koushik Reddy, P. Belwal, Meena Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

This project meets the current important demand for the constant monitoring of environmental conditions because climate change and human activities affect ecosystems. Temperature and humidity are measured using the DHT11/DHT22 sensor connected to the ESP8266 microcontroller and the GPS module is used to obtaining the location information. In contrast to current approaches targeting the communication data or energy consumption only, the contaminants of this system are unified, location-based, and central. It provides immediate data transfer to the cloud through a comfortable low power interface for usage in farming, transportation, and more for environmental monitoring. The findings show that all the environmental conditions and location change can be monitored by the IoT-based system which use ESP32/Arduino microcontroller for sensing data by a Bluetooth or Wi-Fi through cloud platform or server and it gives alert message to web interface or mobile application when temperature increases or decreases more than threshold values. This practical system is especially valuable for those areas of interest that require a constant check, such as environmental control or the logistics and health safety of the transported goods or passengers. © 2025 IEEE.

关键词： Environmental monitoring

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international KES conference on Human Centred Intelligent systems, KES-HCIS 2024

International KES Conference on Human Centred Intelligent Sy...

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international KES conference on Human Centred Intelligent systems, KES-HCIS 2024

ISBN: (纸本)9789819785971

The proceedings contain 18 papers. The special focus in this conference is on Human Centred Intelligent systems. The topics include: DIA Tool for Analyzing Contracts in Serbian Using an R-CNN;earth Observation Data Management: A Knowledge Graph-Based Approach;the Usage of Language Models for Human Assistance in Production Failure Root Cause Analysis;large Language Model application Frameworks for Domain-Specific Chatbots;SMA(i)RT: A Pilot Model of Intelligent Hybrid Ventilation for Retrofits in Small Offices and Housing;digital Strategy Patterns for Next Intelligent systems and Services;considering Human-Centered system Design in Relation to Cognitive and Educational Theories;generative Adversarial Networks in Combustion: Flame Image Generation for Clean and Predictive Combustion modeling Using Real Data;the Role of Large Language Models in Evolving Digital Landscapes: A Subject-Oriented Analysis;a Comparative Study on Endometriosis Automatic Diagnosis Using Magnetic Resonance Imaging and Ultrasound;digital Transformation and the IoT Project Selection system;evaluation of a Smart University’s State of Development Using Industry 4.0 Technologies;industry 4.0 Technologies: Digital Platform-Based Smart system Integration;Vision Paper for Enabling Generative AI Digital Platform Using AIDAF in Healthcare and Manufacturing Industry;Method for Identifying Business Goals for Generative Artificial Intelligence applications Based on Knowledge Distribution Models and GQM+Strategies;CISO as the Driver of an ISMS Project in Public Administrations: Role, Tasks, and Localization of the CISO.

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Research and application of Customer Side Security Energy Use Monitoring Technology Based on Artificial Intelligence and Digital Power Room 7th

Research and Application of Customer Side Security Energy Us...

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7th international conference on Communication, Device and Networking, ICCDN 2024

作者： Li, Jincan Dai, Ying Zhu, Wanting Li, Pei Yang, Xiaqin Liu, Ying Marketing Department of Guangxi Power Grid Co. Ltd. Guangxi Nanning530023 China

ISBN: (纸本)9789819764648

With the development of the power industry, smart grid has become the development direction of the future global power grid. With the help of a new generation of information technology, the collection of power consumption data at the power terminal, and the analysis of power consumption data, and then timely prediction or identification of electrical faults, timely warning to the user or automatic cut off the power supply, can effectively reduce the risk of electrical faults caused by accidents, reduce the loss caused by accidents. Therefore, this paper mainly introduces the development and implementation of intelligent electricity safety monitoring system and fault arc identification algorithm. Firstly, the intelligent electricity safety monitoring system is designed. The main functions of the system are as follows: terminal data collection function, LoRa network wireless transmission function, intelligent gateway data exchange function, server human–computer interaction function and intelligent processing algorithm function. Finally, through the system test, it is found that the intelligent electricity monitoring system can identify the fault arc with 96% accuracy, which is suitable for customer-side safety energy monitoring. Through the research and application of intelligent electricity safety monitoring technology, users can grasp the status information and operation of electrical equipment in real time, and establish a perfect operation and maintenance management system based on intelligent electricity monitoring technology. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Gateways (computer networks)

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Integrated IoT based Smart Agriculture Monitoring system 6

Integrated IoT based Smart Agriculture Monitoring System

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

作者： Saraswathi, R. Vijaya Rahul, L. Lokeswar, S. Varma, R. Vathsav Ajay, U. Computer Science and Engineering VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad India

ISBN: (纸本)9798331522667

The adoption of IoT technology in agriculture is revolutionizing traditional farming, making it a data-driven and resource-efficient field. Proposed paper introduces an IoT-based smart agriculture monitoring system designed to provide farmers with accurate real-time insights for improved crop and resource management. The system incorporates a network of sensors to monitor essential environmental variables like soil moisture and temperature. These signals are processed by a microcontroller and securely transmitted to a cloud platform for advanced analytics. A mobile-friendly application offers actionable insights, notifications, and remote access, facilitating informed decision-making. Built on a Wi-Fi-based infrastructure, the system ensures reliable communication even in areas with inconsistent internet connectivity. Field implementations reveal notable advancements in resource utilization, crop yields, and labor efficiency. Additionally, an embedded AI module forecasts crop prices with 92% accuracy, enabling farmers to optimize sale timings for increased profitability in competitive markets. This comprehensive solution highlights the transformative potential of IoT in fostering sustainable and profitable agricultural practices. © 2025 IEEE.

关键词： Smart agriculture

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Trend-aligned feature correlation: Holistic feature relevance metric on time series data 2

Trend-aligned feature correlation: Holistic feature relevanc...

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2nd international conference on Big Data, Computational Intelligence, and applications, BDCIA 2024

作者： He, Runhai Song, Qingqing Zhou, Quanhua Zhang, Zhenxing Zhang, Shoujing Faculty of Applied Mathematics and Informatics Belarusian State University Minsk Belarus

ISBN: (纸本)9781510689053

Existing time series correlation research methods often rely too much on overall statistical characteristics and ignore the dynamic changes of data in the time dimension, especially in the identification of trend turning points and complex correlations. This study proposes an innovative trend-aligned feature correlation matching method (TAFC), which breaks through the limitations of traditional correlation analysis. TAFC adopts a sophisticated data preprocessing process and introduces two unique metrics: trend overlap index metric (Q) and numerical correlation metric (P). The P metric effectively captures the numerical correlation between data by combining the normalized difference measurement (NDM) and the Pearson correlation coefficient. In addition, TAFC also introduces a custom granular smoothing mechanism to balance trend feature preservation and noise suppression, aiming to comprehensively evaluate the multi-dimensional and multi-granular correlation of time series data. This study uses simulated scenario data based on chi-square distribution and multimodal distribution for experimental verification, and the verification range includes 36 sets of simulation data. The results show that this method can significantly distinguish data sets with different trend characteristics. The introduction of granularity has been verified to help make trend features more explicit. At the same time, when 5% random noise is introduced, the algorithm error is controlled within 5.60%-12.24%. This study provides a novel and accurate method for computer-aided time series data analysis, which has important application value. © 2025 SPIE.

关键词： Correlation coefficients computer simulations Analytical research Data modeling Time series analysis Data analysis Histograms Data processing Multifractal analysis Statistical analysis

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