融合新闻影响力衰减的碳价格多元分解集成预测.
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- Journal of Henan University of Science & Technology, Natural Science, 2024, v. 45, n. 1, p. 51, doi. 10.15926/j.cnki.issn1672-6871.2024.01.007
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Works matching Carbon price
Results: 2382
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碳排放权价格波动 对制造业上市公司价值的影响研究.
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- China Forestry Economy, 2023, n. 5, p. 84, doi. 10.13691/j.cnki.cn23-1539/f.2023.05.012
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基于ARMA-GARCH 簇模型的碳配额价格 波动特征研究.
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- China Forestry Economy, 2023, n. 2, p. 100, doi. 10.13691/j.cnki.cn23-1539/f.2023.02.017
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基于阶梯碳价和自适应分时电价的电动汽车有序充电.
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- Electric Power Automation Equipment / Dianli Zidonghua Shebei, 2024, v. 44, n. 2, p. 64, doi. 10.16081/j.epae.202304012
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Empirical analysis of the relationship between carbon trading price and stock price of high carbon emitting firms based on VAR model — evidence from Chinese listed companies.
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- Environmental Science & Pollution Research, 2024, v. 31, n. 1, p. 1146, doi. 10.1007/s11356-023-30906-w
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考虑电-碳价格耦合的低碳需求响应研究.
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- Integrated Intelligent Energy, 2024, v. 46, n. 10, p. 56, doi. 10.3969/j.issn.2097-0706.2024.10.008
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Carbon prices forecasting based on sliding time window and improved support vector regression: Carbon prices forecasting based on sliding time window...: S. Jia et al.
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- Computing, 2025, v. 107, n. 2, p. 1, doi. 10.1007/s00607-024-01404-9
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中国碳市场交易价格的共同趋势特征研究.
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- Issues of Forestry Economics, 2020, v. 40, n. 3, p. 270, doi. 10.16832/j.enki.1005-9709.20190243
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Fluctuations and Forecasting of Carbon Price Based on A Hybrid Ensemble Learning GARCH-LSTM-Based Approach: A Case of Five Carbon Trading Markets in China.
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- Sustainability (2071-1050), 2024, v. 16, n. 4, p. 1588, doi. 10.3390/su16041588
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Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots.
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- Sustainability (2071-1050), 2020, v. 12, n. 14, p. 5581, doi. 10.3390/su12145581
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中国试点碳市场交易价格的影响因素及驱动路径.
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- Journal of Hefei University of Technology (Social Sciences), 2025, v. 39, n. 1, p. 96
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考虑电价碳价不确定性的燃煤发电基准电价优化模型.
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- Zhejiang Electric Power, 2023, v. 42, n. 5, p. 59, doi. 10.19585/j.zjdl.202305007
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二次分解策略的深度学习碳交易价格预测.
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- Science Technology & Engineering, 2024, v. 24, n. 18, p. 7928, doi. 10.12404/j.issn.1671-1815.2306264
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Impact of Carbon Prices on Wholesale Electricity Prices and Carbon Pass-Through Rates in the Australian National Electricity Market.
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- Energy Journal, 2015, v. 36, n. 3, p. 137, doi. 10.5547/01956574.36.3.pwil
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A Multi-granularity Heterogeneous Ensemble Model for Point and Interval Forecasting of Carbon Prices.
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- International Journal of Computational Intelligence Systems, 2025, v. 18, n. 1, p. 1, doi. 10.1007/s44196-025-00881-w
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A Novel Forecasting Framework for Carbon Emission Trading Price Based on Nonlinear Integration.
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- Mathematics (2227-7390), 2025, v. 13, n. 10, p. 1624, doi. 10.3390/math13101624
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Carbon Price in China: A CO<sub>2</sub> Abatement Cost of Wind Power Perspective.
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- Emerging Markets Finance & Trade, 2018, v. 54, n. 7, p. 1653, doi. 10.1080/1540496X.2017.1386547
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Time-Varying Spillover Effects of Carbon Prices on China's Financial Risks.
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- Systems, 2024, v. 12, n. 12, p. 534, doi. 10.3390/systems12120534
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Carbon spot prices in equilibrium frameworks associated with climate change.
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- Journal of Industrial & Management Optimization, 2023, v. 19, n. 2, p. 961, doi. 10.3934/jimo.2021214
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Carbon Price Forecasting Based on Influencing Factor Screening and VMD-BIGRU Hybrid Model: A Case of Hubei Carbon Market in China.
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- Polish Journal of Environmental Studies, 2025, v. 34, n. 3, p. 2735, doi. 10.15244/pjoes/188058
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Research on the Application of GA-ELM Model in Carbon Trading Price -- An Example of Beijing.
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- Polish Journal of Environmental Studies, 2022, v. 31, n. 1, p. 149, doi. 10.15244/pjoes/138357
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A Hybrid Carbon Price Forecasting Model with External and Internal Influencing Factors Considered Comprehensively: A Case Study from China.
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- Polish Journal of Environmental Studies, 2020, v. 29, n. 5, p. 3305, doi. 10.15244/pjoes/114261
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An Analysis of the IMF's International Carbon Price Floor.
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- Journal of Globalization & Development, 2024, v. 15, n. 2, p. 95, doi. 10.1515/jgd-2023-0102
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Regional regime-switching behavior of China's carbon price during regional and nationwide emissions trading scheme pilots.
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- Energy Efficiency (1570646X), 2024, v. 17, n. 2, p. 1, doi. 10.1007/s12053-024-10191-3
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Carbon sink price prediction based on radial basis kernel function support vector machine regression model.
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- International Journal of Low Carbon Technologies, 2022, v. 17, p. 1075, doi. 10.1093/ijlct/ctac088
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Research on carbon price in emissions trading scheme: a bibliometric analysis.
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- Natural Hazards, 2019, v. 99, n. 3, p. 1381, doi. 10.1007/s11069-018-3433-6
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27
On the Stochastic Properties of Carbon Futures Prices.
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- Environmental & Resource Economics, 2014, v. 58, n. 1, p. 127, doi. 10.1007/s10640-013-9695-2
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Integrating fast iterative filtering and ensemble neural network structure with attention mechanism for carbon price forecasting.
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- Complex & Intelligent Systems, 2025, v. 11, n. 1, p. 1, doi. 10.1007/s40747-024-01609-7
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29
Fossil Fuel Subsidy Inventories vs. Net Carbon Prices.
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- Energy Journal, 2024, v. 45, n. 4, p. 1, doi. 10.5547/01956574.45.4.jboh
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Fossil Fuel Subsidy Inventories vs. Net Carbon Prices.
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- Energy Journal, 2024, v. 45, n. 4, p. 59, doi. 10.1177/01956574241277304
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An Estimation of Market-Based Carbon-Emission Prices Using Comparative Analogy: A Korean Case.
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- Energy Journal, 2019, v. 40, p. 259, doi. 10.5547/01956574.40.SI1.smoo
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32
Carbon Price instead of Support Schemes: Wind Power Investments by the Electricity Market.
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- Energy Journal, 2016, v. 37, n. 4, p. 109, doi. 10.5547/01956574.37.4.mpet
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A new methodology for carbon price forecasting in EU ETS.
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- Expert Systems, 2015, v. 32, n. 2, p. 228, doi. 10.1111/exsy.12084
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Does economic policy uncertainty outperform macroeconomic factor and financial market uncertainty in forecasting carbon emission price volatility? Evidence from China.
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- Applied Economics, 2023, v. 55, n. 54, p. 6427, doi. 10.1080/00036846.2022.2156470
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35
Distributed accountability: picking a carbon price for cost–benefit analysis.
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- Journal of Cultural Economy, 2022, v. 15, n. 3, p. 358, doi. 10.1080/17530350.2022.2028649
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LightGBM-BES-BiLSTM Carbon Price Prediction Based on Environmental Impact Factors.
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- Computational Economics, 2025, v. 65, n. 5, p. 2891, doi. 10.1007/s10614-024-10648-8
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37
Prophet-LSTM-BP Ensemble Carbon Trading Price Prediction Model.
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- Computational Economics, 2024, v. 63, n. 5, p. 1805, doi. 10.1007/s10614-023-10384-5
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A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction.
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- Computational Economics, 2020, v. 55, n. 4, p. 1249, doi. 10.1007/s10614-018-9862-1
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39
Carbon Price Analysis Using Empirical Mode Decomposition.
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- Computational Economics, 2015, v. 45, n. 2, p. 195, doi. 10.1007/s10614-013-9417-4
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40
Drivers of Carbon Price Adoption in Wealthy Democracies: International or Domestic Forces?
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- Socius: Sociological Research for a Dynamic World, 2021, p. 1, doi. 10.1177/2378023121992252
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Drivers of Carbon Price Adoption in Wealthy Democracies: International or Domestic Forces?
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- Socius: Sociological Research for a Dynamic World, 2021, p. 1, doi. 10.1177/2378023121992252
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42
Do Carbon Prices Limit Economic Growth?
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- Socius: Sociological Research for a Dynamic World, 2020, v. 6, p. N.PAG, doi. 10.1177/2378023119898326
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Carbon Price Forecasting Based on Multi-Resolution Singular Value Decomposition and Extreme Learning Machine Optimized by the Moth–Flame Optimization Algorithm Considering Energy and Economic Factors.
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- Energies (19961073), 2019, v. 12, n. 22, p. 4283, doi. 10.3390/en12224283
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Modeling Latent Carbon Emission Prices for Japan: Theory and Practice.
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- Energies (19961073), 2019, v. 12, n. 21, p. 4222, doi. 10.3390/en12214222
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Forecasting the Carbon Price Using Extreme-Point Symmetric Mode Decomposition and Extreme Learning Machine Optimized by the Grey Wolf Optimizer Algorithm.
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- Energies (19961073), 2019, v. 12, n. 5, p. 950, doi. 10.3390/en12050950
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Analysis and Forecasting of the Carbon Price in China's Regional Carbon Markets Based on Fast Ensemble Empirical Mode Decomposition, Phase Space Reconstruction, and an Improved Extreme Learning Machine.
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- Energies (19961073), 2019, v. 12, n. 2, p. 277, doi. 10.3390/en12020277
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Multi-Step-Ahead Carbon Price Forecasting Based on Variational Mode Decomposition and Fast Multi-Output Relevance Vector Regression Optimized by the Multi-Objective Whale Optimization Algorithm.
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- Energies (19961073), 2019, v. 12, n. 1, p. 147, doi. 10.3390/en12010147
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Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition.
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- Energies (19961073), 2018, v. 11, n. 7, p. 1907, doi. 10.3390/en11071907
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A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks.
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- Energies (19961073), 2016, v. 9, n. 1, p. 54, doi. 10.3390/en9010054
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A Novel Multiscale Ensemble Carbon Price Prediction Model Integrating Empirical Mode Decomposition, Genetic Algorithm and Artificial Neural Network.
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- Energies (19961073), 2012, v. 5, n. 2, p. 355, doi. 10.3390/en5020355
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- Article