Machine learning-integrated IoT-based smart home energy management system

M Syamala, CR Komala, PV Pramila… - … of Research on Deep …, 2023 - igi-global.com
The internet of things (IoT) is an important data source for data science technology,
providing easy trends and patterns identification, enhanced automation, constant …

Time-series based prediction for energy consumption of smart home data using hybrid convolution-recurrent neural network

N Bhoj, RS Bhadoria - Telematics and Informatics, 2022 - Elsevier
The rapid increase in technological development has led to the rise in usage of IoT devices
for monitoring Electrical Energy Consumption. As countries around the world are committing …

[HTML][HTML] Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands

XJ Luo, LO Oyedele, AO Ajayi, CG Monyei… - Advanced Engineering …, 2019 - Elsevier
The emerging technologies of the Internet of Things (IoT) and big data can be utilised to
derive knowledge and support applications for energy-efficient buildings. Effective prediction …

Prediction of thermal energy inside smart homes using IoT and classifier ensemble techniques

H Xu, Y He, X Sun, J He, Q Xu - Computer Communications, 2020 - Elsevier
Abstract Development of models based on the Internet of Things (IoT) for household
framework leads to the establishment of smart appliances more and more for improving the …

A machine-learning ensemble model for predicting energy consumption in smart homes

I Priyadarshini, S Sahu, R Kumar, D Taniar - Internet of Things, 2022 - Elsevier
Smart homes incorporate several devices that automate tasks and make our lives easy.
These devices can be useful for many things, like security access, lighting, temperature, etc …

The design of a novel smart home control system using smart grid based on edge and cloud computing

H Albataineh, M Nijim… - 2020 IEEE 8th …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has transpired as a fascinating technology for smart cities, smart
homes, and smart grids by using a vast amount of IoT data. A smart grid is one of the core …

Energy management solutions in the Internet of Things applications: Technical analysis and new research directions

D Wang, D Zhong, A Souri - Cognitive Systems Research, 2021 - Elsevier
By advancement of Internet of Things (IoT) technology in smart life such as smart city, smart
home, smart healthcare and smart transportation, interconnections between smart things are …

Household-level energy forecasting in smart buildings using a novel hybrid deep learning model

D Syed, H Abu-Rub, A Ghrayeb, SS Refaat - IEEE Access, 2021 - ieeexplore.ieee.org
Forecasting of energy consumption in Smart Buildings (SB) and using the extracted
information to plan and operate power generation are crucial elements of the Smart Grid …

Evolutionary deep learning-based energy consumption prediction for buildings

A Almalaq, JJ Zhang - ieee access, 2018 - ieeexplore.ieee.org
Today's energy resources are closer to consumers due to sustainable energy and advanced
technology. To that end, ensuring a precise prediction of energy consumption at the …

A smart home energy management system using IoT and big data analytics approach

AR Al-Ali, IA Zualkernan, M Rashid… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Increasing cost and demand of energy has led many organizations to find smart ways for
monitoring, controlling and saving energy. A smart Energy Management System (EMS) can …