2019 IEEE Milan PowerTech 2019
DOI: 10.1109/ptc.2019.8810727
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Modelling long-term electricity load demand for rural electrification planning

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Cited by 10 publications
(6 citation statements)
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“…This approach is used for understanding, describing, tackling, and modeling well-defined endogenous problems concerning existing systems that are suitable to be formulated as interaction between elements through causal relationships. To this approach belongs more recent works performed by Hartvigsson et al [33,34], aimed addressing technical issues related to load profile definition, and the works performed by Riva et al [35,36], aimed at forecasting the evolution of community electricity demand in rural areas of Tanzania. Other relevant contributions about SD theory applied for the development policy design belong to the work done by the Millennium Institute.…”
mentioning
confidence: 99%
“…This approach is used for understanding, describing, tackling, and modeling well-defined endogenous problems concerning existing systems that are suitable to be formulated as interaction between elements through causal relationships. To this approach belongs more recent works performed by Hartvigsson et al [33,34], aimed addressing technical issues related to load profile definition, and the works performed by Riva et al [35,36], aimed at forecasting the evolution of community electricity demand in rural areas of Tanzania. Other relevant contributions about SD theory applied for the development policy design belong to the work done by the Millennium Institute.…”
mentioning
confidence: 99%
“…Finally, it must be remarked that VRE-based standalone solutions may present reliability issues in terms of guaranteeing enough storage to match peak supply and demand. Thus, it is useful to refer to the World Bank Multi-Tier framework of electricity access Bhatia and Angelou (2015), underpinning how access tier encompass multiple dimensions beyond the effective demand level (Riva et al, 2018b). Our high-tier scenarios also encapsulate the objective of increasing the reliability of supply-beyond the effective amount of power supplied to consumers, because they require technological solutions with higher capacity and thus decrease the share of SA solutions in the optimal mix.…”
Section: Discussion and Policy Implicationsmentioning
confidence: 99%
“…Adeoye and Spataru forecasted annual electricity demand for 14 West African countries from 2016 to 2030 using multiple regression analysis (Adeoye & Spataru, 2019). Finally, Riva et al relied on System Dynamics, based on a load stochastic tool (LoadProGen) to predict future rural electricity demand, considering the community of Ikondo (Tanzania) (Riva et al, 2019).…”
Section: Literature Overviewmentioning
confidence: 99%