Reconciling human and automated intelligence in the provision of occupant comfort

Cole, Raymond J.; Brown, Zosia

doi:10.3763/inbi.2009.0007

Cited by 95 publications

(62 citation statements)

References 13 publications

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“…Although the importance of considering human factors in design and operation of active building technologies is now widely recognized [119], there is still a lack of knowledge in this interdisciplinary research area [120]. Consensus has been reached that automated systems should provide conditions that satisfy the average person, while at the same time keeping options open to meet personal preferences [121].…”

Section: Human Aspectsmentioning

confidence: 99%

Climate adaptive building shells: State-of-the-art and future challenges

Loonen

Trcka

Cóstola

et al. 2013

Renewable and Sustainable Energy Reviews

472

270

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Section: Human Aspectsmentioning

confidence: 99%

Climate adaptive building shells: State-of-the-art and future challenges

Loonen

Trcka

Cóstola

et al. 2013

Renewable and Sustainable Energy Reviews

472

270

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“…For manipulations of the environment the domotic abstraction is providing services. The resource manager 6 is tightly coupled to these manipulation services as a resource must be allocated in order to get the right for manipulation.…”

Section: Resulting Architecturementioning

confidence: 99%

“…On the other hand, automated behavior can benefit the energy efficiency to reduce the power consumption [15]. Additional, assistance, safety and security are widely discussed in research as well [6,7,20]. With our work, we are focusing on a common smart home and want to enhance aspects in the everyday life.…”

Section: Agent Functions and Their Categoriesmentioning

confidence: 99%

“…Smart technologies, e.g., energy saving mechanisms, often come with a reduction of comfort for their users and vice versa [6]. A key question is how to individually determine the (perceived) level of control that each occupant has over the functionality [3]: Allowing the user to configure each device or function is overly complex and possibly leads to a leverage of the intelligent automation idea.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Competitive Agents for Intelligent Home Automation

Michalski

Pohling

Holthaus

2017

Proceedings of the 5th International Conference on Human Agent Interaction

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Technologies that aim to achieve intelligent automation in smart homes typically involve either trigger-action pairs or machine learning. These, however, are often complex to configure or hard to comprehend for the user. To maximize automation efficiency while keeping the configuration simple and the effects comprehensible, we thus explore an alternative agent-based approach. With the help of a survey, we put together a set of intelligent agents that act autonomously in the environment. Conflicts between behaviors, identified with a secondary study, are thereby resolved with a competitive combination of agents. We finally present the draft of a user interface that allows for individual configuration of all agents.

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“…An overview has been presented in [24] of the challenges of smart homes that information and communication technology will face in the residential home environment. The relationship between human and automated intelligence in green buildings is explored in [25]. A simulation system for validating contextual rules in smart homes is proposed in [26].…”

Section: Related Workmentioning

confidence: 99%

Smart Home Electricity Management in the Context of Local Power Resources and Smart Grid

Zhao¹,

Ding²,

Cooper³

et al. 2014

JOCET

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Abstract-This work proposes a smart home electricity management approach that can predict and schedule electricity demand and supply by considering: the 'state' of the smart grid, local power generation capacity, and electrical consumption of household appliances. The prediction of weather conditions and the immediate and longer-term plans of the residential home occupants are crucial parameters in the smart home decision-making system that acts on behalf of the occupants. This paper provides a motivation example and associated scenarios, electrical energy supply/demand models, formalization of the cost optimization problem, and scheduling schemes for a smart home electricity management system in the context of a smart grid, smart appliances, and local renewable energy resources. A case study is provided to illustrate how the proposed approach works.Index Terms-Smart grid, renewable energy, smart home, demand side energy management. I. INTRODUCTIONGlobal renewable energy generation capacity has been rising at a rapid rate in recent years. Renewables are on track to contribute significantly to electric power systems, for example, renewables accounted for almost half of the estimated 208 GW of new electric capacity installed globally in 2011 [1]. In particular, non-hydro renewables have registered a 24% capacity increase over 2010 and have exceeded 390 GW in total. Globally, wind and solar PV accounted for almost 40% and 30% of new renewable capacity, respectively.There is an emerging trend for residential homes on smart grids to have local electric power generation as a portion of electricity supply. Home power local generation usually comes from photovoltaic systems, micro combined heat and power (microCHP) systems, wind turbines, etc. With the incorporation of distributed renewable energy generators, the present power system will be transformed into a large-scale distributed generation system [2], [3]. In the classical centralized power network, electric power flows from power plants to the customer premises in a one-way supply mode. Distributed renewable energy resources bring new situations of local electricity production and two-way electricity flows which dramatically increases the control requirements on the grid. However, advances in information and communication technologies provide the opportunity for efficient data Manuscript received March 15, 2013; revised May 27, 2013. Weiliang Zhao, Lan Ding, and Paul Cooper are with the Sustainable Building Research Centre, Faculty of Engineering, University of Wollongong, NSW, 2522, Australia (e-mail: {wzhao, lding, pcooper}@ uow.edu.au).Pascal Perez is with the SMART Infrastructure Facility, University of Wollongong, NSW, 2522, Australia (e-mail: pascal@ uow.edu.au). collection and exchange. Emerging smart grid technologies can potentially change the power network into a digitally enabled electrical grid that collects, analyzes, and acts on information according to the dynamic status of both suppliers and consumers of energy. A smart grid can improve the effi...

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Reconciling human and automated intelligence in the provision of occupant comfort

Cited by 95 publications

References 13 publications

Climate adaptive building shells: State-of-the-art and future challenges

Climate adaptive building shells: State-of-the-art and future challenges

Competitive Agents for Intelligent Home Automation

Smart Home Electricity Management in the Context of Local Power Resources and Smart Grid

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