A federated learning system for optimised environmental control of consecutive areas

Robert Perry, Enda Fallon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Building management systems have led to artificially controlled environmental conditions. While new infrastructure will lead to a lower carbon footprint and a better working environment, the costs cannot justify the rewards at this present time. Ambient temperature regulation has the potential to mitigate excessive energy consumption. This work proposes an externally influenced environmental control Artificial Neural Network (ANN) implementation to optimise ambient temperature for a given specific area whether that be internal or external to the building. The approach uses a multi-aspect ANN. Two architectural components are introduced, an Agent ANN (A-ANN) and a Coordinating ANN (C-ANN). The Agent ANNs (A-ANN) are deployed to provide temperature control at the extremities of the open plan area. The A-ANN operates with a degree of autonomy. A Coordinating ANN (C-ANN) considers the optimal ambient temperature of the room and consequently effects the surrounding area(s). These A-ANNs have internal and external factors acting as effectors to the system such as outdoor environmental conditions and internally located effectors such as adjacent rooms. Results are presented which diagnose the effort applied by A-ANN instances in varying environmental conditions both internally and externally.

Original languageEnglish
Title of host publicationMulti Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on ICT, Society and Human Beings 2019, Connected Smart Cities 2019 and Web Based Communities and Social Media 2019
EditorsPiet Kommers, Guo Chao Peng, Luis Rodrigues
PublisherIADIS Press
Pages209-216
Number of pages8
ISBN (Electronic)9789898533906
ISBN (Print)9789898533906
DOIs
Publication statusPublished - 2019
Event12th International Conference on ICT, Society and Human Beings, ICT 2019, 5th International Conference on Connected Smart Cities, CSC 2019 and the 16th International Conference on Web Based Communities and Social Media, WBC 2019 - Porto, Portugal
Duration: 17 Jul 201919 Jul 2019

Publication series

NameMulti Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on ICT, Society and Human Beings 2019, Connected Smart Cities 2019 and Web Based Communities and Social Media 2019

Conference

Conference12th International Conference on ICT, Society and Human Beings, ICT 2019, 5th International Conference on Connected Smart Cities, CSC 2019 and the 16th International Conference on Web Based Communities and Social Media, WBC 2019
Country/TerritoryPortugal
CityPorto
Period17/07/1919/07/19

Keywords

  • Ambient Temperature Control
  • Artificial Neural Networks
  • Building Management Systems

Fingerprint

Dive into the research topics of 'A federated learning system for optimised environmental control of consecutive areas'. Together they form a unique fingerprint.

Cite this