Optimizing energy consumption patterns of smart home using a developed elite evolutionary strategy artificial ecosystem optimization algorithm
In recent times, the tremendous progress in electronic devices and making them available to
all consumers has led to an increase in demand for energy, the formation of a peak, and an …
all consumers has led to an increase in demand for energy, the formation of a peak, and an …
Optimizing residential energy resources with an improved multi-objective genetic algorithm based on greedy mutations
Energy management is increasingly becoming an important issue in face of the penetration
of renewable generation and the evolution to smart grids. Home energy management …
of renewable generation and the evolution to smart grids. Home energy management …
Optimal scheduling of residential home appliances by considering energy storage and stochastically modelled photovoltaics in a grid exchange environment using …
The transformation of a conventional power system to a smart grid has been underway over
the last few decades. A smart grid provides opportunities to integrate smart homes with …
the last few decades. A smart grid provides opportunities to integrate smart homes with …
Energy consumption prediction of appliances using machine learning and multi-objective binary grey wolf optimization for feature selection
D Moldovan, A Slowik - Applied Soft Computing, 2021 - Elsevier
Prediction of the energy consumed by household appliances is a challenging research topic
owing to a transition toward the Internet of Everything. Although classical machine learning …
owing to a transition toward the Internet of Everything. Although classical machine learning …
[HTML][HTML] Optimum pricing of smart home appliances based on carbon emission and system cost
JR Zhen, M Khayatnezhad - Energy Reports, 2022 - Elsevier
Concurrent optimization of two different objective functions is a prominent subject in power
systems. A model based on a multi-objective mixed-integer program is presented for smart …
systems. A model based on a multi-objective mixed-integer program is presented for smart …
Pigeon inspired optimization and enhanced differential evolution using time of use tariff in smart grid
In this paper, a scheduler for Home Energy Management (HEM) is proposed using Pigeon
Inspired Optimization (PIO) and Enhanced Differential Evolution (EDE). Performance of …
Inspired Optimization (PIO) and Enhanced Differential Evolution (EDE). Performance of …
Towards optimization of metaheuristic algorithms for IoT enabled smart homes targeting balanced demand and supply of energy
Internet of Things enabled smart grid (SG) is one of the most advanced technologies, which
plays a key role in maintaining a balance between demand and supply by implementing …
plays a key role in maintaining a balance between demand and supply by implementing …
Multi-objective optimization for efficient home energy management system using differential evolution algorithm
R Reghukumar, S Sambhu… - 2018 3rd IEEE …, 2018 - ieeexplore.ieee.org
Home Energy Management System (HEMS) has a considerable influence to control the
selected household appliances and keep the total energy consumption below a certain pre …
selected household appliances and keep the total energy consumption below a certain pre …
A priori multiobjective self-adaptive multi-population based jaya algorithm to optimize ders operations and electrical tasks
A smart grid (SG) is an emerging technology that provides electricity in a cost-efficient and
eco-friendly way. SG combined with distributed energy resources (DERs) plays a crucial role …
eco-friendly way. SG combined with distributed energy resources (DERs) plays a crucial role …
Load scheduling in home energy management system using meta-heuristic techniques and critical peak pricing tariff
In this modern world, the demand of energy rises exponentially, that makes it a valuable
resource. New techniques and methods are being developed to solve the problem of energy …
resource. New techniques and methods are being developed to solve the problem of energy …