Comfort and energy consumption optimization in smart homes using bat algorithm with inertia weight
Smart home is a concept that aims to maximize the comfort of occupant while consuming
energy as low as possible. The comfort and energy consumption are contradicting factors in …
energy as low as possible. The comfort and energy consumption are contradicting factors in …
Exploiting nature-inspired-based artificial intelligence techniques for coordinated day-ahead scheduling to efficiently manage energy in smart grid
The increasing load demand in residential area and irregular electricity load profile
encouraged us to propose an efficient Home Energy Management System (HEMS) for …
encouraged us to propose an efficient Home Energy Management System (HEMS) for …
Recent advances in Multi-objective Cuckoo Search Algorithm, its variants and applications
Abstract The Cuckoo Search Algorithm (CSA) is an optimization algorithm inspired by the
brood parasitism behavior of cuckoo birds. It mimics the reproductive and breeding tactics of …
brood parasitism behavior of cuckoo birds. It mimics the reproductive and breeding tactics of …
Indoor comfort and energy consumption optimization using an inertia weight artificial bee colony algorithm
A comfortable indoor environment contributes to a better quality of life and wellbeing for its
occupants. The indoor temperature, lighting, and air quality are the main controlling factors …
occupants. The indoor temperature, lighting, and air quality are the main controlling factors …
Hybrid DC–AC microgrid energy management system using an artificial gorilla troops optimizer optimized neural network
In this research, we introduce an artificial gorilla troop optimizer for use in artificial neural
networks that manage energy consumption in DC–AC hybrid distribution networks. It is …
networks that manage energy consumption in DC–AC hybrid distribution networks. It is …
An Artificial Rabbit Optimized Neural Network-Based Hybrid DC-AC Microgrid Energy Management System
SV Kumar, R Bhasker - 2023 7th International Conference On …, 2023 - ieeexplore.ieee.org
This study provides a synthetic Rabbit optimization for artificial neural networks to
accomplish power utilization in DC-AC hybrid supply systems. A load, distributed …
accomplish power utilization in DC-AC hybrid supply systems. A load, distributed …
A Prairie Dog Optimized Neural Network-Based Hybrid DC-AC Microgrid Energy Management System
SV Kumar, R Bhasker - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
In this study, we present a Prairie dog optimization to switch energy feeding in AC-DC hybrid
distribution networks using artificial neural networks. It is suggested to put in place an …
distribution networks using artificial neural networks. It is suggested to put in place an …
Hybrid DC-AC microgrid energy management system using grey wolf optimized neural network
S Sahaya Elsi, F Michael Raj… - Journal of Intelligent & …, 2023 - content.iospress.com
Grey wolf-optimized artificial neural networks used in DC–AC hybrid distribution networks, to
regulate the energy consumption, is presented in this study. Energy management system …
regulate the energy consumption, is presented in this study. Energy management system …
Optimization of User Comfort Index for Ambient Intelligence Using Enhanced Bat Algorithm
Abstract Ambient Intelligence (AmI) is an attribute to the environment that can be controlled
and monitored by the smart electronic systems that are responsive to the users' behavior …
and monitored by the smart electronic systems that are responsive to the users' behavior …
Scheduling of Residential Shiftable Smart Appliances by Metaheuristic Approaches
Smart grids' demand‐side management has great importance because of its peak load
reduction and load shifting effects resulting in more efficient and stable distribution grids and …
reduction and load shifting effects resulting in more efficient and stable distribution grids and …