Litcius/Paper detail

Short-term electricity demand forecasting via variational autoencoders and batch training-based bidirectional long short-term memory

Arash Moradzadeh, Hamed Moayyed, Kazem Zare, Behnam Mohammadi‐Ivatloo

2022Sustainable Energy Technologies and Assessments47 citationsDOI

Topics & Concepts

OverfittingComputer scienceAutoencoderTerm (time)Data pre-processingNoise (video)Training (meteorology)Time seriesArtificial neural networkBenchmark (surveying)Support vector machineArtificial intelligenceProcess (computing)Data miningMachine learningGeodesyQuantum mechanicsImage (mathematics)MeteorologyPhysicsOperating systemGeographyEnergy Load and Power ForecastingImage and Signal Denoising MethodsGrey System Theory Applications