Sep 23, 2024 ， Predicting cooling and heating loads is essential for efficient building energy management in order to maintain indoor comfort. This study employs machine ...
5 days ago ， The objective of this work is to propose a novel methodology for improving HEC prediction accuracy. This study uses two original datasets, namely questionnaire ...
Sep 14, 2024 ， The study focuses on implementing and evaluating energy consumption prediction models using algorithms like long short-term memory (LSTM), random forest, and ...
Sep 18, 2024 ， This article describes a novel method for the multi-step forecasting of PM2.5 time series based on weighted averages and polynomial interpolation.
Sep 14, 2024 ， To achieve this goal, the research involves developing polynomial metamodels for Nantes' residential stock to predict cooling load and summer thermal comfort, ...
Sep 26, 2024 ， The ARIMA model [18] is a classic time-series analysis method for modeling and forecasting data, capable of adapting to various time-series patterns for ...
2 days ago ， This study introduces an innovative Cabs-Unet model, which enhances the U-Net architecture by integrating a Convolutional Block Attention Module (CBAM) and ...
Sep 16, 2024 ， This research presents a data-driven approach for detecting faults in industrial machines using sensor data. The method aims to optimize system performance, ...
Sep 27, 2024 ， The goal is to achieve 90 percent of annual load coverage from renewable energy. This study introduces a novel comparison between three different configurations ...
Sep 11, 2024 ， This study proposes a novel RFCNN-モVAE model, which combines residual-connected fully connected neural networks with VAE to handle multi-heat source ...