A comprehensive review on the application of artificial neural networks in building energy analysis

SR Mohandes, X Zhang, A Mahdiyar - Neurocomputing, 2019 - Elsevier
This paper presents a comprehensive review of the significant studies exploited Artificial
Neural Networks (ANNs) in BEA (Building Energy Analysis). To achieve a full coverage of …

A review on the basics of building energy estimation

N Fumo - Renewable and sustainable energy reviews, 2014 - Elsevier
Energy security, environmental concerns, thermal comfort, and economic matters are driving
factors for the development of research on reducing energy consumption and the associated …

A review on machine learning algorithms to predict daylighting inside buildings

M Ayoub - Solar energy, 2020 - Elsevier
Steep increases in air temperatures and CO 2 emissions have been associated with the
global demand for energy. This is coupled with population growth and improved living …

Robust ensemble learning framework for day-ahead forecasting of household based energy consumption

MH Alobaidi, F Chebana, MA Meguid - Applied energy, 2018 - Elsevier
Smart energy management mandates a more decentralized energy infrastructure, entailing
energy consumption information on a local level. Household-based energy consumption …

Daylight illuminance in urban environments for visual comfort and energy performance

N Nasrollahi, E Shokri - Renewable and sustainable energy reviews, 2016 - Elsevier
Daylighting is a passive strategy which is significant in increasing the liveliness,
performance, and visual comfort of the residents. It helps to reduce the overall electrical …

Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study

M Benedetti, V Cesarotti, V Introna, J Serranti - Applied Energy, 2016 - Elsevier
Energy consumption control in energy intensive companies is always more considered as a
critical activity to continuously improve energy performance. It undoubtedly requires a huge …

Key control variables affecting interior visual comfort for automated louver control in open-plan office--a study using machine learning

Z Luo, C Sun, Q Dong, X Qi - Building and Environment, 2022 - Elsevier
Abstract Model-based control strategy has been a promising approach for maximizing the
potentials of automated louver systems regarding visual comfort optimizations. As the data …

Why are daylight-linked controls (DLCs) not so spread? A literature review

L Bellia, F Fragliasso, E Stefanizzi - Building and Environment, 2016 - Elsevier
Daylight-linked controls (DLCs) allow to reduce energy costs and to maximize users'
comfort. Despite benefits it would provide, DLCs use is rather limited because of different …

Improving the residential natural gas consumption forecasting models by using solar radiation

B Soldo, P Potočnik, G Šimunović, T Šarić… - Energy and …, 2014 - Elsevier
Natural gas is known as a clean energy source used for space heating in residential
buildings. Residential sector is a major natural gas consumer that usually demands …

An original tool for checking energy performance and certification of buildings by means of Artificial Neural Networks

C Buratti, M Barbanera, D Palladino - Applied Energy, 2014 - Elsevier
Abstract The Energy Performance Buildings Directive (EPBD) was issued to provide a
common strategy for all European countries and to implement several actions for improving …