Web cache intelligent replacement strategy combined with GDSF and SVM network re-accessed probability prediction

2018 ◽  
Vol 11 (2) ◽  
pp. 581-587
Author(s):  
Wang Chao
Keyword(s):  
Replacement Strategy ◽  
Probability Prediction ◽  
Web Cache

Web Cache Replacement with the Repairable LRU Algorithm

2015 ◽  
Vol 10 (6) ◽  
pp. 620 ◽  
Author(s):  
Prapai Sridama ◽  
Somchai Prakancharoen ◽  
Nalinpat Porrawatpreyakorn
Keyword(s):  
Cache Replacement ◽  
Web Cache

Day-ahead Load Probabilistic Forecasting Based on Space-time Correction

2020 ◽  
Vol 13 ◽  
Author(s):  
Fei Jin ◽  
Xiaoliang Liu ◽  
Fangfang Xing ◽  
Guoqiang Wen ◽  
Shuangkun Wang ◽  
...  
Keyword(s):  
Short Term Memory ◽  
Northern China ◽  
Space Time ◽  
Load Prediction ◽  
Probabilistic Forecasting ◽  
Residual Distribution ◽  
Time And Space ◽  
Probability Prediction ◽  
Time Correction ◽  
Interval Coverage

Background : The day-ahead load forecasting is an essential guideline for power generating, and it is of considerable significance in power dispatch. Objective: Most of the existing load probability prediction methods use historical data to predict a single area, and rarely use the correlation of load time and space to improve the accuracy of load prediction. Methods: This paper presents a method for day-ahead load probability prediction based on space-time correction. Firstly, the kernel density estimation (KDE) is employed to model the prediction error of the long short-term memory (LSTM) model, and the residual distribution is obtained. Then the correlation value is used to modify the time and space dimensions of the test set's partial period prediction values. Results: The experiment selected three years of load data in 10 areas of a city in northern China. The MAPE of the two modified models on their respective test sets can be reduced by an average of 10.2% and 6.1% compared to previous results. The interval coverage of the probability prediction can be increased by an average of 4.2% and 1.8% than before. Conclusion: The test results show that the proposed correction schemes are feasible.

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