2018
DOI: 10.1016/j.rser.2018.08.043
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A comprehensive review on expansion planning: Models and tools for energy policy analysis

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Cited by 141 publications
(67 citation statements)
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“…The number of household sector customers at each year was represented as the result of the number of population (P) divided by household size (HS) then multiple by electrification ratio (ER). As a result, the FEED will be calculated using (3). In three other group of customers such as industrial (i), commercial (c), and public (p), the FEED will be calculated as the result of total customer (TC) times electricity intensity (EI).…”
Section: Final Electrical Energy Demand Analysis and Forecasting Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The number of household sector customers at each year was represented as the result of the number of population (P) divided by household size (HS) then multiple by electrification ratio (ER). As a result, the FEED will be calculated using (3). In three other group of customers such as industrial (i), commercial (c), and public (p), the FEED will be calculated as the result of total customer (TC) times electricity intensity (EI).…”
Section: Final Electrical Energy Demand Analysis and Forecasting Methodsmentioning
confidence: 99%
“…Based on this situation, an analysis of long-term electricity planning is needed to figure the impact of those government policies. Analysis of energy system generally needs an energy model [3], [4]. The traditional electricity planning model was used to focus on the supply-side.…”
Section: Introductionmentioning
confidence: 99%
“…Stating that the functionĨ(l p ) can be equivalently written as in (2) and as the optimization problem in (3) is equivalent to stating that δ * = CapEx(l p )…”
Section: Appendix a Proof Of Lemmamentioning
confidence: 99%
“…The need for mitigating our carbon footprint in combating climate change has initiated and accelerated this growth over the past 30 years. Many countries, political and economic unions or organizations have therefore established their own renewable energy policy frameworks [2] (e.g. in the European Union [3]).…”
Section: Introduction and Related Workmentioning
confidence: 99%
“…in the European Union [3]). Typically, various targets have been implemented by government policies in order to increase the share of renewable energy (RE) sources in power networks [2]. But integration of those facilities, such as solar PV [4] or wind turbines [5], is not straightforward: geographical dispersion and intermittency have often imposed grid adaptations in order to avoid causing instability [1], and forecasting the energy potential can be a modelling challenge on its own in the absence of expert knowledge [6].…”
Section: Introduction and Related Workmentioning
confidence: 99%