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Ewa Wäckelgård

Researcher at Uppsala University

Publications -  84
Citations -  2935

Ewa Wäckelgård is an academic researcher from Uppsala University. The author has contributed to research in topics: Thermal emittance & Selective surface. The author has an hindex of 25, co-authored 84 publications receiving 2719 citations. Previous affiliations of Ewa Wäckelgård include Dalarna University.

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A high-resolution stochastic model of domestic activity patterns and electricity demand

TL;DR: In this article, the authors present a modeling framework for stochastic generation of high-resolution series of such data, which generates both synthetic activity sequences of individual household members, including occupancy states and domestic electricity demand based on these patterns.
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Constructing load profiles for household electricity and hot water from time-use data—Modelling approach and validation

TL;DR: Time-use data, describing in detail the everyday life of household members as high-resolved activity sequences, have a largely unrealized potential of contributing to domestic energy demand modelli as discussed by the authors.
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A combined Markov-chain and bottom-up approach to modelling of domestic lighting demand

TL;DR: A stochastic bottom-up model based on domestic occupancy patterns and data on daylight availability is presented and it is concluded that for both individual households and aggregate demand, all relevant features of measured demand are realistically reproduced.
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Options for improving the load matching capability of distributed photovoltaics: Methodology and application to high-latitude data

TL;DR: In this paper, a methodology for determining the impacts of three options for increased load matching is presented and applied to high-latitude data, including PV array orientation, demand side management (DSM), and electricity storage.
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Impacts of distributed photovoltaics on network voltages: Stochastic simulations of three Swedish low-voltage distribution grids

TL;DR: In this paper, the continuously increasing application of distributed photovoltaics (PV-DG) in residential areas around the world calls for detailed assessment of distribution grid impacts.