Long term load projection in high resolution for all countries globally
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Demand centers for synthetic fuels are often in regions of moderate solar and wind resource conditions, which may be bypassed by imports of synthetic fuels from solar and wind resource rich regions.
“Demand centers for synthetic fuels are often in regions of moderate solar and wind resource conditions, which may be bypassed by imports of synthetic fuels from solar and wind resource rich regions, such as Patagonia [63,65], Maghreb [64], Horn of Africa or Western Australia [186].”
From Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World (2019) · cites this paper as [63]
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Self-citation
- Authors
- Toktarova, A., Gruber, L., Hlusiak, M., Bogdanov, D., & Breyer, C.
- Affiliations
- Lappeenranta-Lahti University of Technology (FI)
- Reiner Lemoine Institute (DE)
- Corresponding author
- Toktarova, Alla
- Breyer, Christian
- Venue
- International Journal of Electrical Power & Energy Systems
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 111
- Pages
- 160-181
- ISSN
- 0142-0615 (ISSN-L)
- OpenAlex
- W2742652546
- Cited by
- 126
- References
- 43
- Citations by year
- 2026: 17 · 2025: 16 · 2024: 19 · 2023: 19 · 2022: 15 · 2021: 20 · 2020: 12 · 2019: 6 · 2018: 1 · 2017: 1
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- green
- lutpub.lut.fi
- Licence
- Locations
- International Journal of Electrical Power & Energy Systems (publishedVersion)
- LUTPub (LUT University) (submittedVersion, cc-by-nc-nd)
- Funders
- Tekes
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Load and Power Forecasting
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- load forecasting, hourly load profiles, Fourier decomposition, multiple linear regression, power system planning, socio-economic scenarios
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