Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2006
2006
2021
2021

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 9 publications
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…Many programmes from governments and development agencies are based on these assumed positive linkages between energy supply and opportunities for income generation, looking for winwin situations. This issue is crucial in a context where investors in the energy sector are sought to meet the unmet energy demands and the increasing volumes of those demands worldwide (Barnes, 2007;Barnett, 2000;Birol, 2005;International Energy Agency, 2009). The number of people currently without access to electricity, at 1.4 billion (compared to 1.6 billion one decade ago) shows the size of the challenge to increase the viability of supply.…”
Section: Energy and Income Generationmentioning
confidence: 99%
“…Many programmes from governments and development agencies are based on these assumed positive linkages between energy supply and opportunities for income generation, looking for winwin situations. This issue is crucial in a context where investors in the energy sector are sought to meet the unmet energy demands and the increasing volumes of those demands worldwide (Barnes, 2007;Barnett, 2000;Birol, 2005;International Energy Agency, 2009). The number of people currently without access to electricity, at 1.4 billion (compared to 1.6 billion one decade ago) shows the size of the challenge to increase the viability of supply.…”
Section: Energy and Income Generationmentioning
confidence: 99%
“…Relatively high levels of medium‐term investment levels would be required to meet projected increased demand (Birol 2005). Conventional forecasts, though, assume that ample global reserves of oil remain (EIA 2005; OECD 2004: ch.…”
Section: Energy Demand and Economic Expansionmentioning
confidence: 99%
“…As the scope of such models is expanding across multiple infrastructures and energy carriers [1] they become increasingly detailed and complex [2]. Hence, well-founded information on future energy demand with the high temporal and spatial resolution is one of the most crucial inputs for such models, having a direct impact on associated decision-making processes [3] affecting real-time grid operation as well as long-term infrastructure extension planning. Accordingly, there is a strong need for reliable models predicting and simulating energy demand (in this article, all methods for the mathematical representation of energy demand or consumption are summarized under the term "energy demand modeling".…”
Section: Introductionmentioning
confidence: 99%