Future data center energy-conservation and emission-reduction technologies in the context of smart and low-carbon city construction
The energy consumption of data centers accounts for approximately 1% of that of the world,
the average power usage effectiveness is in the range of 1.4–1.6, and the associated carbon …
the average power usage effectiveness is in the range of 1.4–1.6, and the associated carbon …
Community-based virtual power plants' technology and circular economy models in the energy sector: A Techno-economy study
Virtual power plants possess the capability to effectively manage the inherent conflict
between dispersed electricity generation and user demand, hence optimising market …
between dispersed electricity generation and user demand, hence optimising market …
A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties
The presence of multiple uncertainties in demand response and renewable energy
generation significantly impeded the planning of integrated energy systems (IES). To …
generation significantly impeded the planning of integrated energy systems (IES). To …
A Stackelberg game-based approach to transaction optimization for distributed integrated energy system
Y Wang, Z Liu, J Wang, B Du, Y Qin, X Liu, L Liu - Energy, 2023 - Elsevier
Distributed integrated energy system (DIES) will become the main energy supply method for
end-users, however, the volatility of renewable energy makes energy consumption more …
end-users, however, the volatility of renewable energy makes energy consumption more …
Optimal bidding and coordinating strategy for maximal marginal revenue due to V2G operation: Distribution system operator as a key player in China's uncertain …
This paper proposes a novel management scheme, namely, the distribution system operator
(DSO) as a key player participating in China's electricity markets owing to its high value …
(DSO) as a key player participating in China's electricity markets owing to its high value …
Wireless energy: Paving the way for smart cities and a greener future
The significance of energy stability in urban development has increased as the use of
intelligent devices continues to expand and extreme weather poses a threat to the integrity …
intelligent devices continues to expand and extreme weather poses a threat to the integrity …
Offline DRL for price-based demand response: Learning from suboptimal data and beyond
Demand response providers (DRPs) play a crucial role in the retail electricity markets as
they bridge the gap between the distribution systems operator (DSO) and end participants …
they bridge the gap between the distribution systems operator (DSO) and end participants …
A transactive energy framework for inverter-based HVAC loads in a real-time local electricity market considering distributed energy resources
Rapidly increasing distributed energy resources (DERs) bring more fluctuating output power
to the distribution network and put forward a higher requirement on local regulation …
to the distribution network and put forward a higher requirement on local regulation …
Customized rebate pricing mechanism for virtual power plants using a hierarchical game and reinforcement learning approach
In the transition to a two-sided electricity market, energy users are turning into prosumers
who own the flexible distributed energy resources (DERs) and have the potential to provide …
who own the flexible distributed energy resources (DERs) and have the potential to provide …
Combined IXGBoost-KELM short-term photovoltaic power prediction model based on multidimensional similar day clustering and dual decomposition
Accurate photovoltaic power prediction is important to ensure stable and safe operation of
microgrids. However, due to the high volatility of photovoltaic power data, the prediction …
microgrids. However, due to the high volatility of photovoltaic power data, the prediction …