The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
When pandemics impact economies and climate change: Exploring the impacts of COVID-19 on oil and electricity demand in China
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Co-integration and error correction: representation, estimation and testing
Engle, R. F., & Granger, C. W. J. (1987) · Econometrica · doi:10.2307/1913236 · Cited by 32,007
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Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II
DURBIN, J., & WATSON, G. S. (1951) · Biometrika · doi:10.1093/biomet/38.1-2.159 · Cited by 3,619
Gardner, M. W., & Dorling, S. R. (1998) · Atmospheric Environment · doi:10.1016/s1352-2310(97)00447-0 · Cited by 3,324
Understanding spurious regressions in econometrics
Phillips, P. C. B. (1986) · Journal of Econometrics · doi:10.1016/0304-4076(86)90001-1 · Cited by 1,776
Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors
Stock, J. H. (1987) · Econometrica · doi:10.2307/1911260 · Cited by 1,470
Electric load forecasting using an artificial neural network
Park, D.-C., El-Sharkawi, M. A., Marks, R. J., Atlas, L., & Damborg, M. J. (1991) · IEEE Transactions on Power Systems · doi:10.1109/59.76685 · Cited by 1,440
Energy models for demand forecasting—A review
Suganthi, L., & Samuel, A. A. (2012) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2011.08.014 · Cited by 1,189
Masih, A. M. M., & Masih, R. (1996) · Energy Economics · doi:10.1016/0140-9883(96)00009-6 · Cited by 838
A multivariate cointegration analysis of the role of energy in the US macroeconomy
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Cited by
The Influence of the Global Energy Crisis on Energy Efficiency: A Comprehensive Analysis
Gajdzik, B., Wolniak, R., Nagaj, R., Žuromskaitė-Nagaj, B., & Grebski, W. W. (2024) · Energies · doi:10.3390/en17040947 · Cited by 280
Abu-Rayash, A., & Dincer, I. (2020) · Energy Research & Social Science · doi:10.1016/j.erss.2020.101693 · Cited by 243
Applications of artificial intelligence in battling against covid-19: A literature review
Tayarani N., M.-H. (2021) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.110338 · Cited by 210
Metadata
- Authors
- Norouzi, N., Zarazua de Rubens, G., Choupanpiesheh, S., & Enevoldsen, P.
- Venue
- Energy Research & Social Science
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 68
- Pages
- 101654
- ISSN
- 2214-6296 (ISSN-L)
- OpenAlex
- W3035970024
- Cited by
- 303
- References
- 37
- FWCI
- 24.00
- Type
- journal article
- Language
- en
- Open access
- green
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- Norouzi, N., Zarazua de Rubens, G., Choupanpiesheh, S., & Enevoldsen, P. (2020). When pandemics impact economies and climate change: Exploring the impacts of COVID-19 on oil and electricity demand in China. Energy Research & Social Science. https://doi.org/10.1016/j.erss.2020.101654
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.