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09/13/2023
Electricity Demand Forecasting through Natural Language Processing with Long Short-Term Memory Networks
Electricity demand forecasting is a well established research field. Usu...
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07/11/2023
Compact Twice Fusion Network for Edge Detection
The significance of multi-scale features has been gradually recognized b...
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01/18/2023
A Quantitative Exploration of Natural Language Processing Applications for Electricity Demand Analysis
The relationship between electricity demand and weather has been establi...
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04/06/2021
Enhancing the Diversity of Predictions Combination by Negative Correlation Learning
Predictions combination, as a combination model approach with adjustment...
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02/28/2021
Exploring the social influence of Kaggle virtual community on the M5 competition
One of the most significant differences of M5 over previous forecasting ...
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11/01/2019
Research and application of time series algorithms in centralized purchasing data
Based on the online transaction data of COSCO group's centralized procur...
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08/21/2019