Add to ORKGAbstract: Artificial intelligence has devised solutions for scheduling problems that haven't been already applied to building-automation specific issues and could be beneficial. This paper presents one of these methods, a parallel-genetic algorithm for the optimisation of a multi-objective demand-side management system, and outlines the design of the architecture that supports the use of that algorithm. Copyright © 2002 IFA
In this work, the Genetic Algorithm is explored for solving a predictive based demand side managemen...
This paper presents an optimization method based on genetic algorithm for the energy management insi...
The major objective of this chapter is to illustrate how artificial neural networks (ANNs) and genet...
One of the most significant challenges facing optimization models for the demand-side management (DS...
The simultaneous operation of the automated storage and retrieval machines (ASRs) in an automated wa...
This paper introduces a novel, adaptive, heating set point scheduler that aims to minimise the heati...
The first step for a rational use of energy in the building sector is to incorporate building perfor...
An active building typically owns some flexible energy resources, such as controllable loads, energy...
The simultaneous operation of the automated storage and retrieval machines (ASRs) in an automated wa...
This master’s thesis deals with the problem of home energy and energy management in the house using ...
Buildings consume a considerable amount of electrical energy, the Heating, Ventilation, and Air Cond...
Abstract:- Artificial intelligence (AI) systems comprise three major areas, artificial neural networ...
Better energy management systems for buildings could play a significant role in achieving nowadays g...
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
A distributed energy system can be used in a commercial building for economic savings. For example,...
In this work, the Genetic Algorithm is explored for solving a predictive based demand side managemen...
This paper presents an optimization method based on genetic algorithm for the energy management insi...
The major objective of this chapter is to illustrate how artificial neural networks (ANNs) and genet...
One of the most significant challenges facing optimization models for the demand-side management (DS...
The simultaneous operation of the automated storage and retrieval machines (ASRs) in an automated wa...
This paper introduces a novel, adaptive, heating set point scheduler that aims to minimise the heati...
The first step for a rational use of energy in the building sector is to incorporate building perfor...
An active building typically owns some flexible energy resources, such as controllable loads, energy...
The simultaneous operation of the automated storage and retrieval machines (ASRs) in an automated wa...
This master’s thesis deals with the problem of home energy and energy management in the house using ...
Buildings consume a considerable amount of electrical energy, the Heating, Ventilation, and Air Cond...
Abstract:- Artificial intelligence (AI) systems comprise three major areas, artificial neural networ...
Better energy management systems for buildings could play a significant role in achieving nowadays g...
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University...
A distributed energy system can be used in a commercial building for economic savings. For example,...
In this work, the Genetic Algorithm is explored for solving a predictive based demand side managemen...
This paper presents an optimization method based on genetic algorithm for the energy management insi...
The major objective of this chapter is to illustrate how artificial neural networks (ANNs) and genet...