A5092067546- Air Quality Monitoring and Forecasting
- Traffic Prediction and Management Techniques
- Currency Recognition and Detection
- Energy Load and Power Forecasting
- Identification and Quantification in Food
- Coconut Research and Applications
- Anomaly Detection Techniques and Applications
State Grid Corporation of China (China)
2023-2024
Hainan University
2022
Power equipment energy consumption data is affected by many factors, such as measurement errors, environmental changes, aging, etc., these factors lead to inaccuracy and noise interference. Therefore, it difficult detect the abnormal data. This paper presents a method for detecting of green building power based on LOF algorithm. First, clean collect it. The characteristics are obtained standardized. Based this, Local Outlier Factor (LOF) algorithm introduced complete accurate detection...
In recent years, with the rapid development of society, energy consumption buildings in our country is also growing. Excessive will lead to environmental problems such as increase greenhouse gas emissions, so it necessary promote building conservation and emission reduction reduce problem excessive consumption. The key predict future trend achieve accurate prediction consumption, which can assist guiding planning use strategies. However, existing forecasting methods are difficult model...
Because of the special structure coconut, it is difficult to observe development its internal accurately, so research on coconut organs blank at present, which leads quality and can not be guaranteed. To solve this problem, we use CT carry out non-destructive scanning, obtain different kinds, stages image images. In paper, a novel YOLO V5 model was designed detect Coconut haustorium plumule, are key structures Coconut. order improve detection accuracy haustoriums buds, an ASFF mechanism GAM...