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Journal ArticleDOI

Development of multi-agent system for building energy and comfort management based on occupant behaviors

Rui Yang, +1 more
- 01 Jan 2013 - 
- Vol. 56, pp 1-7
TLDR
In this article, a multi-agent based intelligent control system is developed for achieving effective energy and comfort management in a building environment, which turns out to be capable of facilitating the building to interact with its occupants for realizing user-centered control of buildings.
About
This article is published in Energy and Buildings.The article was published on 2013-01-01. It has received 180 citations till now. The article focuses on the topics: Building science & Building automation.

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Citations
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Journal ArticleDOI

Review of building energy modeling for control and operation

TL;DR: In this paper, an up-to-date overview of research on application of building energy modeling methods in optimal control for single building and multiple buildings is also summarized in this paper, and different model-based and model-free optimization methods for building energy system operation are reviewed and compared.
Journal ArticleDOI

Multi-Agent Systems: A Survey

TL;DR: This survey provides a comprehensive discussion of all aspects of MAS, starting from definitions, features, applications, challenges, and communications to evaluation, and a classification on MAS applications and challenges is provided.
Journal ArticleDOI

Energy savings by energy management systems: A review

TL;DR: In this article, the authors investigated energy saving effects of published papers related to energy management systems (EMS), building energy management system (BEMS), industrial, company and factory energy management (I/C/F/EMS); and EMS for heating, ventilation, air conditioning (HVAC) and refrigerating equipment, artificial lighting systems, motors and others (EMS for equipment).
Journal ArticleDOI

Machine learning for estimation of building energy consumption and performance: a review

TL;DR: A substantial review on the four main ML approaches including artificial neural network, support vector machine, Gaussian-based regressions and clustering, which have commonly been applied in forecasting and improving building energy performance are provided.
Journal ArticleDOI

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

TL;DR: This review looks at the current developments in the smart energy sector, focussing on techniques in the main application areas along with relevant implemented examples, while highlighting some of the key challenges currently faced and outlining future pathways for the sector.
References
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Book

Multiagent Systems : A Modern Approach to Distributed Artificial Intelligence

TL;DR: This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence and will be a useful reference not only for computer scientists and engineers, but for social scientists and management and organization scientists as well.
Journal ArticleDOI

Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges

TL;DR: The first part of a two-part paper that has arisen from the work of the IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group as mentioned in this paper examines the potential value of MAS technology to the power industry.
Journal ArticleDOI

Advanced control systems engineering for energy and comfort management in a building environment—A review

TL;DR: This paper presents a multi-agent control system (MACS) that successfully manage the user's preferences for thermal and illuminance comfort, indoor air quality and energy conservation and is simulated using TRNSYS/MATLAB.
Journal ArticleDOI

A high-resolution domestic building occupancy model for energy demand simulations

TL;DR: In this article, the authors present a method for generating realistic occupancy data for UK households, based upon surveyed time-use data describing what people do and when, which can be used as input to any domestic energy model that uses occupancy time-series as a base variable, or any other application that requires detailed occupancy data.
Journal ArticleDOI

Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-agent Systems

TL;DR: The problem of interoperability between different multi-agent systems and proposes how this may be tackled and the various options available are described and recommendations on best practice are made.
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