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A review on carbon emission accounting approaches for the electricity power industry
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 …
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
The collaborative development of the electricity and carbon markets can reduce transaction
costs, stimulate energy conservation and emission reductions, and accelerate the social …
costs, stimulate energy conservation and emission reductions, and accelerate the social …
Real-time corporate carbon footprint estimation methodology based on appliance identification
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) …
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 …
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
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 …
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
Real-time industrial carbon emission estimation aims to estimate emissions more accurately
to promote carbon reduction and mitigate climate change. Compared with input-output …
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
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 …
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 …
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 …
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 …
context of climate change, this study introduces a novel hybrid deep learning model, CNN …