[HTML][HTML] A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings

J Aguilar, A Garces-Jimenez, MD R-moreno… - … and Sustainable Energy …, 2021 - Elsevier
Buildings are one of the main consumers of energy in cities, which is why a lot of research
has been generated around this problem. Especially, the buildings energy management …

[HTML][HTML] Demand-side management in industrial sector: A review of heavy industries

H Golmohamadi - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The penetration of renewable energies is increasing in power systems all over the world.
The volatility and intermittency of renewable energies pose real challenges to energy …

Smart Home Energy Management Systems in Internet of Things networks for green cities demands and services

MS Aliero, KN Qureshi, MF Pasha, G Jeon - Environmental Technology & …, 2021 - Elsevier
Today, 44% of global energy has been derived from fossil fuel, which currently poses a
threat to inhabitants and well-being of the environment. In a recent investigation of the global …

Exploiting IoT and its enabled technologies for irrigation needs in agriculture

V Ramachandran, R Ramalakshmi, BP Kavin… - Water, 2022 - mdpi.com
The increase in population growth and demand is rapidly depleting natural resources.
Irrigation plays a vital role in the productivity and growth of agriculture, consuming no less …

EWOA-OPF: Effective whale optimization algorithm to solve optimal power flow problem

MH Nadimi-Shahraki, S Taghian, S Mirjalili… - Electronics, 2021 - mdpi.com
The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power
system by considering the desired objective functions subject to system constraints …

A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home

SN Makhadmeh, AT Khader, MA Al-Betar… - Swarm and Evolutionary …, 2021 - Elsevier
In this paper, the min-conflict local search algorithm (MCA) is hybridized with the grey wolf
optimizer (GWO) for the power scheduling problem in smart home (PSPSH), and the …

Systematic review analysis on smart building: Challenges and opportunities

MS Aliero, M Asif, I Ghani, MF Pasha, SR Jeong - Sustainability, 2022 - mdpi.com
Smart building technology incorporates efficient and automated controls and applications
that use smart energy products, networked sensors, and data analytics software to monitor …

Hybrid sources powered electric vehicle configuration and integrated optimal power management strategy

AK Gautam, M Tariq, JP Pandey, KS Verma… - IEEE Access, 2022 - ieeexplore.ieee.org
Internal Combustion Engine based transportation rapidly increases the impact on the
environment. The burning of fossil fuels in the industries and transportation sector breadth of …

Optimizing energy consumption in the home energy management system via a bio-inspired dragonfly algorithm and the genetic algorithm

I Hussain, M Ullah, I Ullah, A Bibi, M Naeem, M Singh… - Electronics, 2020 - mdpi.com
Due to the exponential increase in the human population of this bio-sphere, energy
resources are becoming scarce. Because of the traditional methods, most of the generated …

Smart home battery for the multi-objective power scheduling problem in a smart home using grey wolf optimizer

SN Makhadmeh, MA Al-Betar, ZAA Alyasseri, AK Abasi… - Electronics, 2021 - mdpi.com
The power scheduling problem in a smart home (PSPSH) refers to the timely scheduling
operations of smart home appliances under a set of restrictions and a dynamic pricing …