[HTML][HTML] A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
optimizer (GWO) for the power scheduling problem in smart home (PSPSH), and the …
Systematic review analysis on smart building: Challenges and opportunities
Smart building technology incorporates efficient and automated controls and applications
that use smart energy products, networked sensors, and data analytics software to monitor …
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
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 …
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
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 …
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
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 …
operations of smart home appliances under a set of restrictions and a dynamic pricing …