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On the CO2 Emissions Determinants During the EU ETS Phases I and II: A Plant-level Analysis Merging the EUTL and Platts Power Data Cheze B, Chevallier J, Berghmans N, Alberola E Energy Journal, 41(4), 153, 2020 |
2 |
Similarity and heterogeneity of price dynamics across China's regional carbon markets: A visibility graph network approach Fan XH, Li XX, Yin JL, Tian LX, Liang JC Applied Energy, 235, 739, 2019 |
3 |
Forecasting carbon prices in the Shenzhen market, China: The role of mixed-frequency factors Han M, Ding LL, Zhao X, Kang WL Energy, 171, 69, 2019 |
4 |
Large-scale forest-based biofuels production: Impacts on the Nordic energy sector Mustapha WF, Kirkerud JG, Bolkesjo TF, Tromborg E Energy Conversion and Management, 187, 93, 2019 |
5 |
Power sector reform and CO2 abatement costs in Korea Ahn YH, Jeon W Energy Policy, 131, 202, 2019 |
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Analysis of coal conversion to biomass as a transitional technology Bunn DW, Redondo-Martin J, Munoz-Hernandez JI, Diaz-Cachinero P Renewable Energy, 132, 752, 2019 |
7 |
Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS Zhao X, Han M, Ding LL, Kang WL Applied Energy, 216, 132, 2018 |
8 |
How to optimize the development of carbon trading in China-Enlightenment from evolution rules of the EU carbon price Fang GC, Tian LX, Liu MH, Fu M, Sun M Applied Energy, 211, 1039, 2018 |
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Analysis and forecasting of the carbon price using multi resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm Sun W, Zhang CC Applied Energy, 231, 1354, 2018 |
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Possibilities for CO2 emission reduction using biomass in European integrated steel plants Mandova H, Leduc S, Wang C, Wetterlund E, Patrizio P, Gale W, Kraxner F Biomass & Bioenergy, 115, 231, 2018 |