Evaluation and mitigation of carbon emissions in energy industry
R Ma, S Bu - Renewable and Sustainable Energy Reviews, 2025 - Elsevier
Carbon emissions from energy systems is a significant contributor to climate change.
Addressing environmental challenges and achieving sustainable development goals related …
Addressing environmental challenges and achieving sustainable development goals related …
Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties
Carbon emission flow is an effective tool to obtain carbon emission distribution in power
systems, which can guide the active carbon reductions of consumers through proper …
systems, which can guide the active carbon reductions of consumers through proper …
Demand-side joint electricity and carbon trading mechanism
Decarbonization of the whole energy chain has been recognized as a measure to tackle the
global challenge of climate change, and significant progress has already been made on the …
global challenge of climate change, and significant progress has already been made on the …
A comprehensive consumption-based carbon accounting framework for power system towards low-carbon transition
Nearly 40% current global annual energy-related CO 2 emissions come from the fossil fuel-
dominated power sector. Accurately accounting for carbon emissions in power systems from …
dominated power sector. Accurately accounting for carbon emissions in power systems from …
Networked multiagent-based safe reinforcement learning for low-carbon demand management in distribution networks
This paper proposes a multiagent-based bilevel operation framework for low-carbon
demand management in distribution networks considering the carbon emission allowance …
demand management in distribution networks considering the carbon emission allowance …
Calculating probabilistic carbon emission flow: An adaptive regression-based framework
Carbon intensities are beginning to be used as incentives for consumer-driven carbon
reduction. Guided by time-varying carbon intensities, consumers can schedule loads in …
reduction. Guided by time-varying carbon intensities, consumers can schedule loads in …
[HTML][HTML] Low-carbon oriented planning of shared photovoltaics and energy storage systems in distribution networks via carbon emission flow tracing
L Chen, W Tang, Z Wang, L Zhang, F **e - International Journal of Electrical …, 2024 - Elsevier
With the targets of carbon peaking and carbon neutrality, carbon emission reduction
measures have become significant issues in new-type power systems. Distribution networks …
measures have become significant issues in new-type power systems. Distribution networks …
Carbon-aware optimal power flow
To facilitate effective decarbonization of the electric energy sector, this paper introduces a
generic Carbon-aware Optimal Power Flow (C-OPF) methodology for power system …
generic Carbon-aware Optimal Power Flow (C-OPF) methodology for power system …
Model-free self-supervised learning for dispatching distributed energy resources
This paper proposes a model-free self-supervised learning (SSL) method for dispatching
distributed energy resources (DERs). The proposed method first establishes a data-driven …
distributed energy resources (DERs). The proposed method first establishes a data-driven …
Constraint Learning-based Optimal Power Dispatch for Active Distribution Networks with Extremely Imbalanced Data
Transition towards carbon-neutral power systems has necessitated optimization of power
dispatch in active distribution networks (ADNs) to facilitate integration of distributed …
dispatch in active distribution networks (ADNs) to facilitate integration of distributed …