Reflections on diversity in design research

McMahon, Christopher

doi:10.1080/09544828.2012.676634

Cited by 39 publications

(25 citation statements)

References 13 publications

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“…In the case of design research, the preliminary steps have been taken in works such as Love (2000), Dorst (2008), andMcMahon (2012). Here, I focus on solidifying the learning provided in this section into general recommendations for design research as a whole, and specific recommendations for design researchers (whether as authors or reviewers).…”

Section: Recommendations For Future Theory-driven Design Researchmentioning

confidence: 99%

Developing theory-driven design research

2018

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Section: Recommendations For Future Theory-driven Design Researchmentioning

confidence: 99%

Developing theory-driven design research

2018

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“…research domain (McMahon, 2012): The difficulty in exploring and characterising if, and how, micro--scale and macro--scale features are related, and what exists in the middle ground.…”

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confidence: 99%

Activity Theory as a means for multi-scale analysis of the engineering design process: A protocol study of design in practice

2015

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“…Furthermore, previous experiences in energy consumption according to particular building design could be used as a contribution in design improvement [14]. Because of that, there are studies that are focused on different investigations regarding buildings design and buildings energy usage [15,16].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Energy Consumption in Buildings Using Support Vector Machine

et al. 2021

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The energy consumption of buildings can directly affect the buildings users' budget and their satisfaction with the investment in the property. Vice versa, buildings energy consumption has a social implication on the buildings' users. Additionally, building energy consumption is connected with the buildings influence on the environment due to the CO2 emission. Thus, having a model for energy usage prediction is of crucial importance. Data for sixty real-built buildings were collected. Using support vector machine, a model was developed for prediction of energy consumption. The mean absolute percentage error of the model is 2,44% and the coefficient of determination of the model R 2 is 94,72%, which expresses the global fit of the model. The model is useful for all participants in the designs of buildings, particularly in the early phases. It can serve as a decision support model during the process of selection of optimal building design.

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Reflections on diversity in design research

Cited by 39 publications

References 13 publications

Developing theory-driven design research

Developing theory-driven design research

Activity Theory as a means for multi-scale analysis of the engineering design process: A protocol study of design in practice

Prediction of Energy Consumption in Buildings Using Support Vector Machine

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