Carbon emissions from energy systems is a significant contributor to climate change.
Addressing environmental challenges and achieving sustainable development goals related …

This paper provides an overview of the challenges and pathways involved in achieving a
low-carbon-oriented energy transition roadmap and power system planning strategy. The …

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 …

Reducing greenhouse gas emissions in the energy industry is broadly acknowledged as
important with numerous countries implementing targets to reduce emissions …

In the context of the current low-carbon environment initiatives and the construction of
modern power systems, how to achieve an energy-saving and low-carbon system while …

Decarbonizing the energy supply is essential and urgent to mitigate the increasingly visible
climate change. Its basis is identifying emission responsibility during power allocation by the …

This paper proposes an augmented Lagrangian-based safe off-policy deep reinforcement
learning (DRL) algorithm for the carbon-oriented optimal scheduling of electric vehicle (EV) …

To reduce the peak-valley difference of power consumption, the distribution system operator
(DSO) usually guides the electricity consumers to change their load profiles based on the …

This paper proposes a multiagent-based bilevel operation framework for low-carbon
demand management in distribution networks considering the carbon emission allowance …

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 …