A pattern classification methodology for interval forecasts of short-term electricity prices based on hybrid deep neural networks: A comparative analysis
Zhen Shao, Yudie Yang, Qingru Zheng, Kaile Zhou, Chen Liu, Shanlin Yang
Topics & Concepts
Computer scienceArtificial neural networkClassifier (UML)Term (time)Machine learningFeature selectionElectricityArtificial intelligenceData miningInterval (graph theory)Feature (linguistics)EngineeringMathematicsLinguisticsPhilosophyPhysicsCombinatoricsElectrical engineeringQuantum mechanicsEnergy Load and Power ForecastingGrey System Theory ApplicationsStock Market Forecasting Methods