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Short-term Load Forecasting of an Integrated Energy System Based on STL-CPLE with Multitask Learning

Protection and Control of Modern Power Systems 2024年第6期9卷 71-92页

作者： Suxun Zhu Hengrui Ma Laijun Chen Bo Wang Hongxia Wang Xiaozhu Li Wenzhong Gao the College of Energy and Electrical En-gineering Qinghai UniversityXining 810016China the School of Electrical and Automation Wuhan UniversityWuhan 430072China the Department of Electrical and Computer Engineering University of DenverDenver CO 80208USA Engineering Research Center for Renewa-ble Energy Generation and Grid Connection Technology Ministry of EducationXinjiang UniversityUrumchi 830046China

Multienergy loads in integrated energy sys-tems(IESs)exhibit strong volatility and randomness,and existing multitask sharing methods often encounter nega-tive migration and seesaw problems when addressing complexity and competition among *** line with these considerations,a short-term multienergy load joint prediction method based on seasonal-trend decomposition using LOESS(STL)and convolutional progressive lay-ered extraction(CPLE)is proposed,called ***,STL is applied to model regular and uncertain load information into interpretable trend,seasonal,and re-sidual ***,joint modeling is performed for the same type of components of multienergy loads.A one-dimensional convolutional neural network(1DCNN)is constructed to extract deeper feature *** approach works in concert with the progressive layered extraction sharing method,and convolutional shared and task-specific experts are developed to acquire common and distinctive representations of multienergy loads, re-spectively. Task-specific parameters are gradually sepa-rated through progressive routing. Finally, a subtask network is built to learn temporal dependencies using long short-term memory (LSTM). Simulation validation is performed on the IES dataset at the Tempe campus of Arizona State University, and the experiments show that the STL-CPLE method exhibits higher prediction accu-racy than do the other methods.

关键词： Integrated energy system multienergy load forecasting convolutional progressive layer extrac-tion network seasonal-trend decomposition.

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Automatic messaging system by detecting the road accidents for vehicle applications

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Materials Today: Proceedings 2023年 80卷 3124-3128页

作者： Karthik, M. Sreevidya, L. Vinodha, K. Thangaraj, M. Hemalatha, G. Sena, T. Viswak Department of Electrical and Electronics Engineering Sri Ramakrishna Engineering College Tamil Nadu Coimbatore641 022 India Department of Electrical and Electronics Engineering VSB College of Engineering Tamil Nadu Coimbatore642 109 India Department of Computer Science and Engineering New Horizon College of Engineering Karnataka Bengaluru560 103 India Department of Electrical and Electronics Engineering Coimbatore Institute of Engineering & Technology 641 055 Tamil Nadu India Department of Robotics and Automation Sri Ramakrishna Engineering College Tamil Nadu Coimbatore641 022 India

The emerging advancements in innovation has changed our lives drastically making it ease. Yet in this forefront world the rate of automobile accidents is still increasing resulting in increased fatality rate majorly due to untimely attention of emergency services. Our project will provide the best possible answer to this problem. When an automobile collides with another vehicle, the MEMS sensor senses this and sends the data, which is then processed by Arduino, according to this project. The Arduino sends an alarm message to a police control room or a rescue squad via the GSM Module, which includes the position. As a result, as soon as the police receive the information, they can use the GPS Module to track down the location. Then, once the location has been confirmed, the necessary steps will be taken. The project alerts the emergency services and the family members for immediate help by sending the location when an accident occurs. © 2021

关键词： Global system for mobile communications

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A Comparative Analysis of Transient Analysis Results for DC-DC Regulator in PSpice, Tina, and LTspice 5

A Comparative Analysis of Transient Analysis Results for DC-...

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Vince, Tibor Cizmarik, Dominik Dziak, Jozef Mamchur, Dmytro Anna, Iudina Vitalii, Naida Technical University in Kosice Department of Theoretical and Industrial Electrical Engineering Fei Kosice Slovakia Kremenchuk Mykhailo Ostrohradskyi National University Department of Computer Engineering and Electronics Kremenchuk Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Automation and Computer Systems Kremenchuk Ukraine

ISBN: (纸本)9798350359787

The paper presents a comparative analysis of the simulation results of a DC-DC buck regulator based on LM2595 on three different simulation platforms: PSpice, LTspice, and Tina. The comparative analysis includes visual comparison of selected waveforms, comparison of statistical parameters of the observed signals, and comparison based on time step signal analysis. The simulation was performed using three different maximal time step conditions. The research focused on examining the differences caused by different simulation platforms under the same maximal time step condition, as well as the differences caused by different maximal time step conditions within a single simulation platform. This analysis is crucial, particularly when comparing different simulation Spice models that require simulations to be conducted on various simulation platforms. By comparing the results obtained from different platforms under the same simulation conditions, the impact of the simulation platform on the accuracy and behavior of the models can be assessed. © 2023 IEEE.

关键词： Simulation platform

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Impact Analysis of Distributed Energy Resources in Maintaining Unbalanced Voltage Degree and DLMP 12

Impact Analysis of Distributed Energy Resources in Maintaini...

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12th International Conference on Renewable Power Generation, RPG 2023

作者： Gong, Jian Wang, Xiaofei Cai, Sheng Zhang, Menglin School of Automation China University of Geosciences Wuhan China Department of Electrical Engineering and Computer Sciences University of Tennessee Knoxville United States School of Automation Nanjing University of Science and Technology Nanjing China

The three-phase distribution system is evolving towards a more unbalanced one in terms of load consumption, which is harmful to both the distribution grid and user equipment. In this study, we integrate the voltage imbalance constraints into the three-phase distribution level market. However, the three-phase distribution locational marginal price (DLMP) may inevitably be affected and exhibit differences between phases. The deployment of distributed energy sources (DERs) is driving the distribution system to be more flexible and could help alleviate the imbalances of three-phase voltage and DLMP. First, the coupling relationship between phases is modelled, and three-phase unbalanced voltage constraints are considered by limiting the magnitude difference between phases. Next, the three-phase nonlinear power losses are linearized via the Taylor expansion. Then, a three-phase distribution market model with multiple types of DERs is established. Finally, the proposed model is tested on the IEEE 33-bus system. The simulation results show that the integration of voltage imbalance constraints and DERs can make the voltage profile between phases more balanced and significantly impact the three-phase DLMP. © The Institution of engineering & Technology 2023.

关键词： Energy resources

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Robust Control of Feeding Speed for Coal Mine Tunnel Drilling Machines 25

Robust Control of Feeding Speed for Coal Mine Tunnel Drillin...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Liu, Xiao Chen, Luefeng Wu, Min Cao, Weihua Lu, Chengda Pedrycz, Witold School of Automation China University of Geosciences Wuhan China School of Automation The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Department of Computer Engineering Sariyer Istanbul34396 Turkey

Changes in coal seam hardness cause fluctuations in the feed resistance at the drill bit during the drilling process, leading to unstable feeding speed. This paper proposes a robust dynamic output feedback controller to suppress disturbances caused by the variations in coal seam hardness in the feed system. Firstly, an unknown parameter measuring coal seam hardness is introduced, and an uncertain model of the feeding system is established based on the finite element model of the drill string. By designing weighted functions based on industrial field requirements and constructing a generalized plant, the controller achieves loop shaping, reducing the low-frequency impact of coal seam hardness variations on the feed system and suppressing the systems resonance peak. Simulation results demonstrate that the controller effectively suppresses parameter variations and external disturbances caused by changes in coal seam hardness, achieving stable control of the drilling speed. © 2024 IEEE.

关键词： Robust control

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Evaluation the Efficienty of Forecasting Sports Events Using a Cascade of Artificial Neural Networks Based on FPGA

Evaluation the Efficienty of Forecasting Sports Events Using...

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2022 Conference of Russian Young Researchers in Electrical and Electronic engineering, ElConRus 2022

作者： Krutikov, Alexander K. Meltsov, Vasily Y. Strabykin, Dmitry A. Vyatka State University Faculty of Automation and Computer Engineering Department of Electronic Computers Kirov Russia

ISBN: (纸本)9781665409933

Well-known implementations of software systems for predicting sports events based on artificial neural networks do not provide sufficiently accurate results in individual sports. The main difficulty in this case is the fact that various types and formats of data act as source information: numeric, symbolic, interval. The authors propose an approach based on cascading of several types of neural networks. A specialized training sample is prepared for each module in accordance with the type of model and the selected cascade structure. The results of information processing on each layer serve as data sets for modules of subsequent tiers. Initially, the system was implemented using the MATLAB package. The experiments carried out confirm the effectiveness of cascading modules. To significantly increase the performance of the system, for example, when used in betting shops, a cascade of neural networks is implemented on the basis of Altera Cyclone III FPGA using Quartus CAD. © 2022 IEEE.

关键词： Neural networks

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A Novel Determination of Soluble NPK Nutrient Measurement System Using K-means and SOM Methods Compared with UV Visible Spectrophotometer

A Novel Determination of Soluble NPK Nutrient Measurement Sy...

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2023 International Electrical engineering Congress, iEECON 2023

作者： Tipwong, Wallop Sirikham, Adisorn Konpang, Jessada Kirdpipat, Putthiphong Chongjarearn, Yutana Preutisrunyanont, Oradee Rajamangala University of Technology Krungthep Department of Electrical and Telecommunication Engineering Bangkok Thailand Thammasat School of Engineering Thammasat University Faculty of Engineering Department of Electrical and Computer Engineering Pathum Thani Thailand Dhurakij Pundit University Department of Robotic Engineering and Automation System Bangkok Thailand

ISBN: (纸本)9798350332360

Technologies are currently being used in smart farms to improve productivity. Agricultural innovation is also widespread. Therefore, the development of Internet of Things (IoTs) technologies and devices to collect data is important. Finding essential nutrients for growth such as Nitrogen (N), Phosphorus (P) and Potassium (K) are important factors. Competitiveness is the important key for growing vertically or indoors. However, soil testing can be expensive, complicated and time consuming. The development of devices that can effectively measure nutrient NPK levels could be used over time. This paper presents a suitable clustering using the K-means method and a forecasting method using the Self-Organizing Map (SOM) method to enhance the device's ability to analyze nutrients in real time. A total of 50,688 samples were tested using the K-Means clustering algorithm, and the sample data were also analyzed. A SOM was prepared to predict the accuracy of the analysis. A total of 11,486 samples were tested and analyzed, then the results of the soluble NPK nutrient monitoring system were taken. It has an efficiency of 84.15% compared to using a UV Visible spectrophotometer, allowing data to be predicted during nutrient solubility changes and to operate according to the proposed system. Therefore, the unsupervised machine learning will improve the measurement system of future cultivation systems. © 2023 IEEE.

关键词： Nutrients

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Impact Analysis of Low-Voltage Ride-Through on the VSG-Based Power Flow Control Applied to Grid-forming DG Systems 14

Impact Analysis of Low-Voltage Ride-Through on the VSG-Based...

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14th Seminar on Power Electronics and Control, SEPOC 2022

作者： Do Nascimento, Thiago F. Salazar, Andres O. Federal University of Rio Grande Do Norte Department of Computer Engineering and Automation Natal Brazil

ISBN: (数字)9781665470896

ISBN: (纸本)9781665470896

This paper presents a case study to evaluate the impact of the low-voltage ride-through (LVRT) on the virtual synchronous generator (VSG) strategy performance applied to power flow control in grid-forming distributed generation (DG) systems. For this purpose, the DG system was subject to asymmetrical faults applied to the point of common coupling (PCC) to characterize the LVRT condition. The VSG strategy performance is evaluated through simulation results addressing the grid-connected DG system operation with different scenarios of asymmetrical voltage sags. The analysis presents the main impacts on the system control variables, which can guide the improvement of standard VSG strategies to minimize the impacts caused on the DG power flow control. © 2022 IEEE.

关键词： Synchronous generators

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Line-Start Permanent Magnet Machines for Low-Power Applications

Line-Start Permanent Magnet Machines for Low-Power Applicati...

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2024 International Conference on Electrical Machines, ICEM 2024

作者： Barta, Jan Toman, Marek Losak, Petr Aarniovuori, Lassi Vitek, Ondrej Brno University of Technology Department of Power Electrical and Electronic Engineering Brno Czech Republic Institute of Automation and Computer Science Brno University of Technology Brno Czech Republic Electrical Engineering LUT University Lahti Finland

ISBN: (纸本)9798350370607

The improvement of efficiency is one of the main areas of research in electrical machines today. Three-phase induction machines are widely used in industry, motivating researchers to explore methods to increase their efficiency or replace them with more efficient alternatives. A line-start synchronous machine is a promising machine design for achieving high-efficiency classes even for low-power applications. The main contribution of this paper is to show the achievable performance of the LSPMSM by simply replacing the rotor of an induction machine. In this work, two different geometries suitable for low-power machines are optimized and studied in terms of electromagnetic parameters. Finally, the results of the start-up simulations for both machine designs are presented. The presented method shows that by replacing the induction machine rotor with a line-start permanent magnet rotor, it is possible to significantly enhance machine efficiency, even for low-power applications. © 2024 IEEE.

关键词： Permanent magnets

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On Efficient Planning of Oil&Gas Investments and Characteristics of BMS-models Destabilization 16

On Efficient Planning of Oil&Gas Investments and Characteris...

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Zholkov Jolkov, Sergei Shashev, A.M. National University of Oil and Gas 'Gubkin University' Faculty of Automation and Computer Engineering Moscow Russia Moscow Institute of Physics and Technology Department of Radio Engineering and Cybernetics Moscow Russia

ISBN: (纸本)9798350337907

With an unconventional approach, we regard the problem of building a precise adaptive model of oil price dynamics in the context of investment projects. I. Newton formulated the principle of analysis. We list the Principles of applying the stochastic theory of asset management to building the optimal investment projects in oil and gas field development. We also analyze all the data of daily oil exchange from 1988 to 2019 (spot prices, Platts (Platt's) McGraw Hill Financial). We use methods and quantitative evaluations of adaptive BMS models with stochastic switches. We outline precise (normalized quadratic deviation within 9%) adaptive BMS models, plot extrapolation (quasi-forecast) on a stability period;make a stability period quasi-forecast and list essential quantitative evaluations and graphs. We discuss the possibility of quick profiting using BMS models. We also discuss the approaches to solving the problem of building optimal midterm oil and gas field development projects and operations, as well as the results we acquire. Analysis of incomes and expenses of an optimal investment project would allow for a substantiated decision on whether the development should be started or forgone. © 2023 IEEE.

关键词： Random processes

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