Litcius/Paper detail

Highly accurate energy consumption forecasting model based on parallel LSTM neural networks

Ning Jin, Fan Yang, Yuchang Mo, Yongkang Zeng, Xiaokang Zhou, Ke Yan, Xiang Ma

2021Advanced Engineering Informatics154 citationsDOI

Topics & Concepts

Artificial neural networkComputer scienceVolatility (finance)Reliability (semiconductor)Energy consumptionEfficient energy useLong short term memoryArtificial intelligenceStability (learning theory)Machine learningData miningEconometricsRecurrent neural networkEngineeringMathematicsQuantum mechanicsPower (physics)PhysicsElectrical engineeringEnergy Load and Power ForecastingGrey System Theory ApplicationsSolar Radiation and Photovoltaics
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks | Litcius