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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 ...
Dec 1, 2023 ， We propose a novel method for probabilistic forecasting of the total load of a residential community and its base and thermal components.
Aug 25, 2024 ， The objective of this study is to evaluate and validate Bromilow's time-cost model and Love et al.'s time-floor model to estimate early project durations.
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Jun 13, 2024 ， This paper presents an approach for improving the accuracy of energy consumption estimate during early design stage for residential buildings.
Jul 23, 2024 ， This approach contributes to forecasting algorithm advancements and aligns with the transition towards sustainable energy solutions, offering valuable insights ...
Nov 1, 2023 ， To predict cooling load, authors have modelled two methods of artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in conjunction ...
Jul 28, 2024 ， This survey aids readers to summarize and compare the latest predominant researches on electric load forecasting. Besides, it presents the most relevant studies ...
Jan 23, 2024 ， Abstract: Increasing building energy consumption has led to environmental and economic issues. Energy demand prediction (DP) aims to reduce energy use.
Nov 4, 2023 ， designed an ANN-based building energy model with transfer learning for one hour ahead energy prediction based on the data from the Building Genome Project, ...
2 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 ...