2017
DOI: 10.1016/j.esd.2017.08.002
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Accuracy of energy-use surveys in predicting rural mini-grid user consumption

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Cited by 84 publications
(48 citation statements)
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“…Considering demand profiles in this study would have caused large uncertainties; load profile estimations are available for specific locations in WA, see e.g. [70], but subject to high uncertainty, as is widely the case in rural settings in developing economies [71], and poised to undergo substantial changes as energy demand rises across WA. Further, demand management by shifting certain flexible loads to specific times can also be an option [56].…”
Section: Discussionmentioning
confidence: 99%
“…Considering demand profiles in this study would have caused large uncertainties; load profile estimations are available for specific locations in WA, see e.g. [70], but subject to high uncertainty, as is widely the case in rural settings in developing economies [71], and poised to undergo substantial changes as energy demand rises across WA. Further, demand management by shifting certain flexible loads to specific times can also be an option [56].…”
Section: Discussionmentioning
confidence: 99%
“…However, research surveys for predicting electricity consumptions can be error-prone. As high as 426 Wh/day per consumer of mean absolute error has been observed over a study of eight rural minigrids in Kenya (Blodgett et al 2017). Hartvigsson and Ahlgren (2018) compare the load profiles in a minigrid from interviews as well as measured data.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The consumption changes in the systems, many of which are have been operating for 3 years or more, may have invalidated a design which was originally "optimal". This observation points to the need for dedicated study of consumption over time and, when designing systems, more sophisticated demand modeling or use of comparable datasets especially considering the high potential error involved with energy use surveys [53].…”
Section: Figmentioning
confidence: 99%