A taxonomy and future directions for sustainable cloud computing: 360 degree view
The cloud-computing paradigm offers on-demand services over the Internet and supports a
wide variety of applications. With the recent growth of Internet of Things (IoT)--based …
wide variety of applications. With the recent growth of Internet of Things (IoT)--based …
The role of big data analytics in enabling green supply chain management: a literature review
Big data analytics (BDA) is gaining considerable attention from academics and practitioners
as a critical enabler of green supply chain management (GSCM). Research on this …
as a critical enabler of green supply chain management (GSCM). Research on this …
Methodological-technological framework for construction 4.0
F Muñoz-La Rivera, J Mora-Serrano, I Valero… - … methods in engineering, 2021 - Springer
The construction industry has traditionally been characterised by the high diversity of its
agents and processes, high resistance to change and low incorporation of technology …
agents and processes, high resistance to change and low incorporation of technology …
An ensemble machine learning model for enhancing the prediction accuracy of energy consumption in buildings
Predicting building energy use is necessary for energy planning, management, and
conservation. It is difficult to achieve accurate prediction results due to the inherent …
conservation. It is difficult to achieve accurate prediction results due to the inherent …
Integrating artificial intelligence and analytics in smart grids: a systematic literature review
Purpose The purpose of this study is to explore the latest approaches in integrating artificial
intelligence and analytics (AIA) in energy smart grid projects. Empirical results are …
intelligence and analytics (AIA) in energy smart grid projects. Empirical results are …
Lean management framework for healthcare facilities integrating BIM, BEPS and big data analytics
An increase in the usage of information and communication technologies (ICT) and the
Internet of Things (IoT) in Facility Management (FM) induces a huge data stack. Even though …
Internet of Things (IoT) in Facility Management (FM) induces a huge data stack. Even though …
Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns
Concrete-filled steel tube (CFST) columns are widely used in the construction industry.
Prediction of the ultimate bearing capacity of CFST columns is complicated because it is …
Prediction of the ultimate bearing capacity of CFST columns is complicated because it is …
Hybrid machine learning system to forecast electricity consumption of smart grid-based air conditioners
This study develops a hybrid prediction system to forecast 1-day-ahead electricity
consumption of air conditioners in office spaces. The hybrid system combines a linear …
consumption of air conditioners in office spaces. The hybrid system combines a linear …
Towards a service-oriented architecture for the energy efficiency of buildings: A systematic review
L Mendoza-Pitti, H Calderón-Gómez… - IEEE …, 2021 - ieeexplore.ieee.org
Currently, smart buildings generate large amounts of data due to the many devices and
equipment available. Hence, buildings implement building management systems (BMSs) …
equipment available. Hence, buildings implement building management systems (BMSs) …
Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble
MA Alghamdi, S Abdullah… - Big Data Mining and …, 2024 - ieeexplore.ieee.org
The ability to make accurate energy predictions while considering all related energy factors
allows production plants, regulatory bodies, and governments to meet energy demand and …
allows production plants, regulatory bodies, and governments to meet energy demand and …