Работы, цитирующие эту работу

Работ: 2

Работа: Predicting electricity consumption in a building using an optimized back-propagation and Levenberg–Marquardt back-propagation neural network: Case study of a shopping mall in China

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

   СтатьяBuilding Energy and Comfort OptimizationEnergy Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000191

2. A Systematic Review of Comparative Analysis of Machine Learning Models for Predicting Heating Demand and Electricity Usage with Weather Data in Buildings: Two Case Studies in Norway

   Jørgen Norø Sørensen, Jiying Liu, Moon Keun Kim +1

   ПрепринтBuilding Energy and Comfort OptimizationSSRN Electronic Journal2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.preprint.000167