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Improving the Bi-LSTM model with XGBoost and attention mechanism: A combined approach for short-term power load prediction

Yeming Dai, Qiong Zhou, Mingming Leng, Xinyu Yang, Yanxin Wang

2022Applied Soft Computing101 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceElectric power systemBenchmark (surveying)Long short term memoryPreprocessorMean squared errorTerm (time)Machine learningPower (physics)Data miningArtificial neural networkRecurrent neural networkStatisticsMathematicsGeographyQuantum mechanicsPhysicsGeodesyEnergy Load and Power ForecastingGrey System Theory ApplicationsImage and Signal Denoising Methods
Improving the Bi-LSTM model with XGBoost and attention mechanism: A combined approach for short-term power load prediction | Litcius