Litcius/Paper detail

A data-driven interval forecasting model for building energy prediction using attention-based LSTM and fuzzy information granulation

Yue Li, Zheming Tong, Shuiguang Tong, Dane Westerdahl

2021Sustainable Cities and Society133 citationsDOI

Topics & Concepts

Interval (graph theory)HyperparameterComputer sciencePrediction intervalFuzzy logicData miningEnergy (signal processing)Energy consumptionArtificial intelligenceGranulationMachine learningStatisticsMathematicsEngineeringCombinatoricsGeotechnical engineeringElectrical engineeringEnergy Load and Power ForecastingBuilding Energy and Comfort OptimizationHydrological Forecasting Using AI
A data-driven interval forecasting model for building energy prediction using attention-based LSTM and fuzzy information granulation | Litcius