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Michael W. Jack
University of Otago
68Publications
12H-index
564Citations
Publications 69
Newest
#1Michael W. JackH-Index: 12
Last.Ben AndersonH-Index: 21
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#2Michael W. JackH-Index: 12
Last.K. J. ChallisH-Index: 5
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Source
#1Imran Khan (University of Otago)H-Index: 5
#2Michael W. Jack (University of Otago)H-Index: 12
Last.Janet Stephenson (University of Otago)H-Index: 15
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Abstract In many countries the residential sector contributes significantly to peak demand. Some of the promising approaches to reduce these peaks, such as energy efficiency and demand-side management (DSM) programmes, currently lack the sophistication to target households with particular characteristics or that make the most contribution to peaks. We present an analytical approach ‘time-segmented regression analysis (TSRA)’ that is able to determine the household factors that dominate at differ...
1 CitationsSource
#1Muthasim Fahmy (Scion)H-Index: 1
#2M. Imroz Sohel (Scion)H-Index: 9
Last.Ian D. Suckling (Scion)H-Index: 6
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Abstract A major challenge with commercialising enzymatic processes for producing lignocellulosic sugars is reducing the production cost to commercially-acceptable levels. A commonly-held assumption is that higher sugar yields drive cost reductions, but high yields often come at a trade-off with other factors. Here we consider the enzymatic hydrolysis of a thermomechanically-pretreated Pinus radiata and evaluate the impact of adding polyethylene glycol-4000 (PEG) on the sugar yield. We use techn...
1 CitationsSource
#1N. J. López-Alamilla (University of Otago)H-Index: 1
#2Michael W. Jack (University of Otago)H-Index: 12
Last.K. J. Challis (Scion)H-Index: 5
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Abstract Stochastic trajectories measured in single-molecule experiments have provided key insights into the microscopic behaviour of cyclic motor proteins. However, the fundamental free-energy landscapes of motor proteins are currently only able to be determined by computationally intensive numerical methods that do not take advantage of available single-trajectory data. In this paper we present a robust method for analysing single-molecule trajectories of cyclic motor proteins to reconstruct t...
1 CitationsSource
#1Kiti Suomalainen (University of Otago)H-Index: 2
#2David Eyers (University of Otago)H-Index: 19
Last.Michael W. Jack (University of Otago)H-Index: 12
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Abstract Understanding demand flexibility in the residential sector depends on understanding the causal link between household occupants’ activities and resulting electricity demand. Self-reported electricity use via time-use diaries is often used as a direct descriptor of occupants’ activities and has been integrated into residential electricity demand simulation models. Conversely, smart meter electricity demand data is increasingly used to infer occupants’ activities. Underlying both these ap...
2 CitationsSource
#1Michael W. JackH-Index: 12
#2Janet StephensonH-Index: 15
Last.Ben AndersonH-Index: 21
view all 4 authors...
#1Ben AndersonH-Index: 21
Last.Michael W. JackH-Index: 12
view all 3 authors...
#1Michael W. JackH-Index: 12
#2Janet StephensonH-Index: 15
Last.Ben AndersonH-Index: 21
view all 4 authors...
#1Benjamin AndersonH-Index: 1
#2David EyersH-Index: 19
Last.Michael W. JackH-Index: 12
view all 9 authors...
The NZ GREEN Grid project recruited a sample of 25 households in each of two regions of New Zealand (Stephenson et al. 2017). The first sample was recruited in early 2014 and the second in early 2015. Research data includes: 1 minute mean electricity power (W) data collected for each dwelling circuit using Grid Spy monitors on each power circuit (and the incoming power); dwelling & appliance surveys; occupant time-use diaries (focused on energy use).
2 CitationsSource
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