@inproceedings{5968faa5910443268fca44cc8437d2b2,
title = "A federated learning system for optimised environmental control of consecutive areas",
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.",
keywords = "Ambient Temperature Control, Artificial Neural Networks, Building Management Systems",
author = "Robert Perry and Enda Fallon",
note = "Publisher Copyright: {\textcopyright} 2019 IADIS Press. All rights reserved.; 12th 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 ; Conference date: 17-07-2019 Through 19-07-2019",
year = "2019",
doi = "10.33965/csc2019_201908l026",
language = "English",
isbn = "9789898533906",
series = "Multi 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",
publisher = "IADIS Press",
pages = "209--216",
editor = "Piet Kommers and Peng, {Guo Chao} and Luis Rodrigues",
booktitle = "Multi 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",
}