Smart grid data analytics framework for increasing energy savings in residential buildings

JS Chou, NT Ngo - Automation in construction, 2016 - Elsevier
Human energy consumption has gradually increased greenhouse gas concentrations and is
considered the main cause of global warming. Currently, the building sector is a major …

Big data analytics and cloud computing for sustainable building energy efficiency

JS Chou, NT Ngo, WK Chong, GE Gibson Jr - Start-up creation, 2016 - Elsevier
Currently, big data analytics and cloud computing are emerging practices for sustainable
energy systems and efficient energy management. Utilizing building energy usage data is …

Smart building energy management and monitoring system based on artificial intelligence in smart city

R Selvaraj, VM Kuthadi, S Baskar - Sustainable Energy Technologies and …, 2023 - Elsevier
In the present scenario, the fastest-growing environmental concerns are energy
management and monitoring. In-efficient energy recycling, energy consumption, energy …

Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

JS Chou, NT Ngo - Applied energy, 2016 - Elsevier
Smart grids are a promising solution to the rapidly growing power demand because they can
considerably increase building energy efficiency. This study developed a novel time-series …

Distributed machine learning on smart-gateway network toward real-time smart-grid energy management with behavior cognition

H Huang, H Xu, Y Cai, RS Khalid, H Yu - ACM Transactions on Design …, 2018 - dl.acm.org
Real-time data analytics for smart-grid energy management is challenging with
consideration of both occupant behavior profiles and energy profiles. This article proposes a …

Predictive modelling of building energy consumption based on a hybrid nature-inspired optimization algorithm

S Goudarzi, MH Anisi, N Kama, F Doctor… - Energy and …, 2019 - Elsevier
Overall energy consumption has expanded over the previous decades because of rapid
population, urbanization and industrial growth rates. The high demand for energy leads to …

[HTML][HTML] Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review

R Mathumitha, P Rathika, K Manimala - Artificial Intelligence Review, 2024 - Springer
Urbanization increases electricity demand due to population growth and economic activity.
To meet consumer's demands at all times, it is necessary to predict the future building …

Machine learning optimization model for reducing the electricity loads in residential energy forecasting

B Wang, X Wang, N Wang, Z Javaheri… - … Informatics and Systems, 2023 - Elsevier
Recently, households have consumed more power by overusing refrigerators, mobiles,
washing machines, and electrical appliances. The incoming energy needs to be optimized …

Efficient energy consumption system using heuristic renewable demand energy optimization in smart city

M Shu, S Wu, T Wu, Z Qiao, N Wang… - Computational …, 2022 - Wiley Online Library
The rapid growth of urban development in recent years required reliable as well as realistic
smart solutions to transport, system infrastructure, environmental conditions, and quality of …

[PDF][PDF] Smart Energy Management System Using Machine Learning

A Akram, S Abbas, M Khan, A Athar… - … , Materials & Continua, 2024 - researchgate.net
Energy management is an inspiring domain in developing of renewable energy sources.
However, the growth of decentralized energy production is revealing an increased …