Due to the limitation of many conditions such as topography and geomorphology, the slope structure is easy to cause geological disasters such as landslides, collapses, and debris flows, and instability and uneven sett...
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Along with the rapid development of the computer technique, the numerical twin technique has been widely used in each field. The digital twin is a kind of image of the material world in the information plane. It is ve...
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Distributed energy is the key to developing smart energy. Taking the distributed energy system in an industrial park as an example, the system generates massive structured time series data, such as productivity data, ...
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Energy issues play an increasingly important role in national security and economic development. The country has put forward the policy of building energy-saving and land-saving buildings. The application of the compr...
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FACTS device created for distribution system is entirely electronic. PI, PID, Series filter, and other controller components are popular for FACTS device design. This work aims to replace FACTS device controller compo...
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In view of the shortcomings of current wireless charging technology for electric vehicles, this article provides a new wireless charging solution that achieves high power and high efficiency through multi-channel conc...
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In today's society, with the continuous increase in various production activities and residential electricity consumption, the load pressure on the power system is increasing. Therefore, an accurate forecast of th...
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In today's society, with the continuous increase in various production activities and residential electricity consumption, the load pressure on the power system is increasing. Therefore, an accurate forecast of the power load can improve the economic cost, safety, and maintainability of the power generation industry. The focus of the research on the load forecasting of the power system is the collection of forecast data and the establishment of accurate forecasting models. At present, various forecasting methods proposed at home and abroad have different characteristics. This paper focuses on the fluctuation characteristics of electricity consumption in different industries and extracts key influencing factors. Then, it uses these extracted influencing factors and historical electricity consumption data to train and predict the Support Vector Regression models, and compares the prediction effects. The validation data set in this paper uses the electricity consumption of various industries in Shenyang. This research contributes to environmental and low-carbon initiatives by accurately predicting power loads, optimizing energy usage, promoting renewable energy development, and facilitating the establishment of intelligent energy systems.
In Indonesia, approximately 10% of products possess halal certification. Consequently, there is a need for a solution, specifically a system capable of retrieving information from halal food providers and generating r...
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Ecological environment monitoring is one of the crucial aspects of environmental protection work. Using an STM32 microcontroller as the central processing unit, sensor modules, and wireless communication modules, you ...
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This study aims to evaluate the usability of the Travoy mobile application using the system Usability Scale (SUS) method. The data analysis method used is SUS, which involves 10 questions with 5 answer choices. Based ...
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