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) …

As data centers emerge as the information backbone of an increasingly digital world, the
associated service demand has been rising rapidly. The operational nature of the data …

Leveraging on-site renewable sources like solar and wind provides ample opportunities on
developing environmental friendly and energy-efficient data centers. Due to intermittent …

The increasing penetration of renewable energy sources and electric vehicles (EVs) poses a
significant challenge for the power grid operator in terms of increasing peak load and power …

Cloud computing is one of the powerful engines driving global industrial upgrading and the
booming digital economy. However, the explosive growth of cloud data centers (DCs) has …

In recent years, electric vehicle (EV) charging stations have experienced an increasing
supply-demand mismatch due to their fluctuating renewable generation and unpredictable …

The extreme weather disaster is a main threat to the operation of integrated electricity and
heat systems (IEHSs), particularly the cold wave, which is prone to cause surges in regional …

The cloud computing center can dynamically respond to various needs, schedule computing
resources, and provide users with convenient IT services. As the demand for cloud …

As the demand for artificial intelligence (AI) models and applications continues to grow, data
centers that handle AI workloads are experiencing a rise in energy consumption and …

With the prevalence of cloud computing applications, cloud data centers (CDCs) are
proliferating around the world. However, in the context of hybrid energy‑carbon markets …