The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Introduction to Energy Systems Modelling
Open accessAbstract
Summary: The energy demand and supply projections of the Swiss government funded by the Swiss Federal Office of Energy and carried out by a consortium of institutes and consulting companies are based on two types of energy models: macroeconomic general equilibrium models and bottom-up models for each sector. While the macroeconomic models are used to deliver the economic, demographic and policy framework conditions as well as the macroeconomic impacts of particular scenarios, the bottom-up models simulate the technical developments in the final energy sectors and try to optimise electricity generation under the given boundary conditions of a particular scenario. This introductory article gives an overview of some of the energy models used in Switzerland and — more importantly — some insights into current advanced energy system modelling practice pointing to the characteristics of the two modelling types and their advantages and limitations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)92216-0 · Cited by 45,910
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Global Consequences of Land Use
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., et al. (2005) · Science · doi:10.1126/science.1111772 · Cited by 13,272
Thring, M. W. (1977) · Electronics and Power · doi:10.1049/ep.1977.0180 · Cited by 7,338
Intelligent agents: theory and practice
Wooldridge, M., & Jennings, N. R. (1995) · The Knowledge Engineering Review · doi:10.1017/s0269888900008122 · Cited by 6,810
An Introduction to MultiAgent Systems
Wooldridge, M. (2002) · Cited by 5,394
Industrial Dynamics: A Major Breakthrough for Decision Makers
Forrester, J. W. (2012) · The Roots of Logistics · doi:10.1007/978-3-642-27922-5_13 · Cited by 2,058
Forrester, J. W., & WARFIELD, J. N. (1973) · Cited by 1,466
An Introduction to Multi-Agent Systems
Balaji, P. G., & Srinivasan, D. (2010) · Studies in Computational Intelligence · doi:10.1007/978-3-642-14435-6_1 · Cited by 1,376
Sensfuß, F., Ragwitz, M., & Genoese, M. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.03.035 · Cited by 962
Cited by
Integrated modelling of variable renewable energy-based power supply in Europe
Gils, H. C., Scholz, Y., Pregger, T., Luca de Tena, D., & Heide, D. (2017) · Energy · doi:10.1016/j.energy.2017.01.115 · Cited by 323
Löffler, K., Hainsch, K., Burandt, T., Oei, P.-Y., Kemfert, C., & Von Hirschhausen, C. (2017) · Energies · doi:10.3390/en10101468 · Cited by 225
Mercure, J.-F., Lam, A., Billington, S., & Pollitt, H. (2018) · Climatic Change · doi:10.1007/s10584-018-2262-7 · Cited by 60
Sarmiento, L., Burandt, T., Löffler, K., & Oei, P.-Y. (2019) · Energies · doi:10.3390/en12173270 · Cited by 43
Jones, E. C. (2025) · Current Sustainable/Renewable Energy Reports · doi:10.1007/s40518-025-00256-x · Cited by 3
Metadata
- Authors
- Herbst, A., Toro, F., Reitze, F., & Jochem, E.
- Venue
- Swiss Journal of Economics and Statistics
- Published
- 2012-01-11
- Volume
- 148
- Issue
- 2
- Pages
- 111-135
- ISSN
- 0303-9692 (ISSN-L)
- 2235-6282
- OpenAlex
- W88944736
- Cited by
- 290
- References
- 32
- FWCI
- 4.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
