Ushbu ishga iqtibos qilgan ishlar

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Ish: A Comparative Study of LSTM and Temporal Convolutional Network Models for Semisubmersible Platform Wave Runup Prediction

1. Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building

   Moon Keun Kim, Yang‐Seon Kim, Nuodi Fu +4

   MaqolaBuilding Energy and Comfort OptimizationEnergy Reports20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.article.000191

2. Electricity Demand Forecasting for Cultural Institutions: A Comparative Study of Lstm and Cnn-Lstm Models with Three Data Normalization Techniques Using Weather and Price Data – Case Studies from Norwegian Museums

   Nuodi Fu, Jaehee Lee, Jiying Liu +2

   PreprintConservation Techniques and StudiesSSRN Electronic Journal20250 iqtibos

   ABIABI:AkademIndex/openalex/2025.preprint.000135