A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
The optimal co-planning of the integrated energy system (IES) and machine learning (ML)
application on the multivariable prediction of IES parameters have mostly been carried out …
application on the multivariable prediction of IES parameters have mostly been carried out …
[HTML][HTML] Strategic potential of multi-energy system towards carbon neutrality: A forward-looking overview
Carbon neutrality is an ambitious goal that has been promulgated to be achieved on or
before 2060. However, most of the current energy policies focus more on carbon emission …
before 2060. However, most of the current energy policies focus more on carbon emission …
Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand …
A community integrated energy system (CIES) is an important carrier of the energy internet
and smart city in geographical and functional terms. Its emergence provides a new solution …
and smart city in geographical and functional terms. Its emergence provides a new solution …
Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game
An operating entity utilizing community-integrated energy systems with a large number of
small-scale distributed energy sources can easily trade with existing distribution markets. To …
small-scale distributed energy sources can easily trade with existing distribution markets. To …
Privacy-preserving spatiotemporal scenario generation of renewable energies: A federated deep generative learning approach
Scenario generation is a fundamental and crucial tool for decision-making in power systems
with high-penetration renewables. Based on big historical data, in this article, a novel …
with high-penetration renewables. Based on big historical data, in this article, a novel …
Nearly-zero carbon optimal operation model and benefit allocation strategy for a novel virtual power plant using carbon capture, power-to-gas, and waste incineration …
L Ju, Z Yin, Q Zhou, Q Li, P Wang, W Tian, P Li, Z Tan - Applied Energy, 2022 - Elsevier
Aiming at utilizing a large number of distributed energy sources in rural areas such as straw
and garbage biomass, rooftop photovoltaics, and decentralized wind power, this study …
and garbage biomass, rooftop photovoltaics, and decentralized wind power, this study …
Multi-objective optimization of multi-energy complementary integrated energy systems considering load prediction and renewable energy production uncertainties
Z Liu, Y Cui, J Wang, C Yue, YS Agbodjan, Y Yang - Energy, 2022 - Elsevier
Multi-energy complementary integrated energy system (MCIES) is considered as a
promising solution to mitigate carbon emissions and promote carbon peaking and carbon …
promising solution to mitigate carbon emissions and promote carbon peaking and carbon …
Data-driven optimal scheduling of multi-energy system virtual power plant (MEVPP) incorporating carbon capture system (CCS), electric vehicle flexibility, and clean …
The zero-carbon multi-energy systems (ZCMES) have received attention due to developed
countries' promulgated carbon–neutral policy. Thus, This paper proposes a deep learning …
countries' promulgated carbon–neutral policy. Thus, This paper proposes a deep learning …
Two-stage adjustable robust optimal dispatching model for multi-energy virtual power plant considering multiple uncertainties and carbon trading
Q Yan, M Zhang, H Lin, W Li - Journal of cleaner production, 2022 - Elsevier
In the context of high proportion renewable energy access and multi-energy synergy, low-
carbon multi-energy virtual power plants (MEVPP) are gradually getting hot. This paper …
carbon multi-energy virtual power plants (MEVPP) are gradually getting hot. This paper …
A Tri-dimensional Equilibrium-based stochastic optimal dispatching model for a novel virtual power plant incorporating carbon Capture, Power-to-Gas and electric …
L Ju, Z Yin, X Lu, S Yang, P Li, R Rao, Z Tan - Applied Energy, 2022 - Elsevier
This study proposes a novel structure of carbon-to-power-based virtual power plant (C2P-
VPP) considering the flexible demand response and electric vehicle-to-grid aggregators …
VPP) considering the flexible demand response and electric vehicle-to-grid aggregators …