A review on carbon emission accounting approaches for the electricity power industry

Y Li, X Yang, E Du, Y Liu, S Zhang, C Yang, N Zhang… - Applied Energy, 2024 - Elsevier
The carbon dioxide (CO 2) emissions have reached their highest levels since
measurements began in recent years. This is widely regarded as one of the primary factors …

[HTML][HTML] Optimal scheduling and trading in joint electricity and carbon markets

S Zhu, J Ji, Q Huang, S Li, J Ren, D He, Y Yang - Energy Strategy Reviews, 2024 - Elsevier
The collaborative development of the electricity and carbon markets can reduce transaction
costs, stimulate energy conservation and emission reductions, and accelerate the social …

Real-time corporate carbon footprint estimation methodology based on appliance identification

G Liu, J Liu, J Zhao, J Qiu, Y Mao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Achieving carbon neutrality is widely recognized as the key measure to mitigate climate
change. As the basis for achieving carbon neutrality, corporate carbon footprint (CCF) …

Multiscale spatio-temporal feature fusion based non-intrusive appliance load monitoring for multiple industrial industries

L Lin, J Liu, N Huang, S Li, Y Zhang - Applied Soft Computing, 2024 - Elsevier
The appliance types and power consumption patterns vary greatly across different
industries. This can lead to unstable identification results of traditional appliance load …

A non-intrusive carbon emission accounting method for industrial corporations from the perspective of modern power systems

C Yang, G Liang, J Liu, G Liu, H Yang, J Zhao, Z Dong - Applied Energy, 2023 - Elsevier
Accurate and timely carbon emission accounting (CEA) is vital to industrial corporations,
especially those who participate in the carbon market. With the rapid development of …

Real-time industrial carbon emission estimation with deep learning-based device recognition and incomplete smart meter data

J Liu, G Liu, H Zhao, J Zhao, J Qiu, ZY Dong - Engineering Applications of …, 2024 - Elsevier
Real-time industrial carbon emission estimation aims to estimate emissions more accurately
to promote carbon reduction and mitigate climate change. Compared with input-output …

An effective optimal economic sustainable clean energy solution with reduced carbon capturing/carbon utilization/carbon footprint for grid integrated hybrid system

A Saxena, A Chandel, AK Dash… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The integration of conventional sources with the grid has many challenges, like carbon
emission, optimal cost of the system, and power quality issues. All these shortcomings …

[HTML][HTML] Carbon Dioxide Emission Forecast: A Review of Existing Models and Future Challenges

Y Tian, X Ren, K Li, X Li - Sustainability, 2025 - mdpi.com
In the face of global climate change, accurately predicting carbon dioxide emissions has
become an urgent requirement for environmental science and policy-making. This article …

[HTML][HTML] Electricity-carbon modeling of flat glass industry based on correlation variable

G Lai, Q Ye, W Chen, Z Hu, L Hong, Y Wang, Y Cai - Energy Reports, 2022 - Elsevier
The flat glass industry is a typical industry with high energy consumption and extensive
carbon emission. The carbon emission of flat glass industry in China ranks first in the same …

[HTML][HTML] Efficient greenhouse gas prediction using IoT data streams and a CNN-BiLSTM-KAN model

J Zhang, L Zhao - Alexandria Engineering Journal, 2025 - Elsevier
In response to the challenge of accurately predicting greenhouse gas emissions in the
context of climate change, this study introduces a novel hybrid deep learning model, CNN …