A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
Energy consumption models play an integral part in energy management and conservation,
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …
Integrated parametric design of adaptive facades for user's visual comfort
A Tabadkani, MV Shoubi, F Soflaei… - Automation in …, 2019 - Elsevier
Abstract The idea of Adaptive Solar Façade (ASF), as a modular, dynamic, and flexible types
of smart façades could be a promising approach in a comfort-centric design through the …
of smart façades could be a promising approach in a comfort-centric design through the …
Data driven parallel prediction of building energy consumption using generative adversarial nets
C Tian, C Li, G Zhang, Y Lv - Energy and Buildings, 2019 - Elsevier
Building energy consumption prediction is becoming increasingly vital for energy
management, equipment efficiency improvement, cooperation between building energy and …
management, equipment efficiency improvement, cooperation between building energy and …
Towards developing a systematic knowledge trend for building energy consumption prediction
The rapid depletion of natural sources of energy, coupled with increasing global population
has triggered the emergence of various techniques and strategies for building energy …
has triggered the emergence of various techniques and strategies for building energy …
Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
With the increased severity, intensity, and frequency of “heatwaves” due to climate change, it
has become imperative to study the overheating risks in existing buildings. To do so, a …
has become imperative to study the overheating risks in existing buildings. To do so, a …
Prediction of building electricity usage using Gaussian Process Regression
A Zeng, H Ho, Y Yu - Journal of Building Engineering, 2020 - Elsevier
The prediction of building energy use is the basis for smart building operation, which
optimizes building performance through control and low-energy strategy. For reducing …
optimizes building performance through control and low-energy strategy. For reducing …
Reconstructing BIM from 2D structural drawings for existing buildings
Y Zhao, X Deng, H Lai - Automation in Construction, 2021 - Elsevier
Reconstructing building information models (BIMs) based on 2D drawings is an effective
way to realize digital management of existing buildings. However, current image-based …
way to realize digital management of existing buildings. However, current image-based …
Energy management using multi-criteria decision making and machine learning classification algorithms for intelligent system
Hybrid energy systems (HESs) are one of the most effective solutions for the power demand
especially in remote areas. It is well-known that the HESs usually include renewables like …
especially in remote areas. It is well-known that the HESs usually include renewables like …
Application of BEM and using BIM database for BEM: A review
Abstract This paper reviews Building Energy Modeling (BEM) development using
classification and review of articles for the recent years (2015–2018) to explore how much …
classification and review of articles for the recent years (2015–2018) to explore how much …
Forecasting heating and cooling loads of buildings: A comparative performance analysis
Heating load and cooling load forecasting are crucial for estimating energy consumption
and improvement of energy performance during the design phase of buildings. Since the …
and improvement of energy performance during the design phase of buildings. Since the …