Energy System 4.0: Digitalization of the energy sector with inclination towards sustainability
The United Nations' sustainable development goals have emphasized implementing
sustainability to ensure environmental security for the future. Affordable energy, clean …
sustainability to ensure environmental security for the future. Affordable energy, clean …
Reviewing the peer-to-peer transactive energy market: Trading environment, optimization methodology, and relevant resources
Y Xia, Q Xu, S Li, R Tang, P Du - Journal of Cleaner Production, 2023 - Elsevier
With the high penetration of renewable energy resources on the demand side, peer-to-peer
(P2P) energy sharing has emerged as a promising method for consuming the surplus …
(P2P) energy sharing has emerged as a promising method for consuming the surplus …
[图书][B] Bayesian optimization and data science
F Archetti, A Candelieri - 2019 - Springer
Bayesian Optimization and Data Science Page 1 123 SPRINGER BRIEFS IN
OPTIMIZATION Francesco Archetti Antonio Candelieri Bayesian Optimization and Data …
OPTIMIZATION Francesco Archetti Antonio Candelieri Bayesian Optimization and Data …
Review on deep learning research and applications in wind and wave energy
Wind energy and wave energy are considered to have enormous potential as renewable
energy sources in the energy system to make great contributions in transitioning from fossil …
energy sources in the energy system to make great contributions in transitioning from fossil …
Dynamic energy scheduling and routing of multiple electric vehicles using deep reinforcement learning
M Alqahtani, M Hu - Energy, 2022 - Elsevier
The demand on energy is uncertain and subject to change with time due to several factors
including the emergence of new technology, entertainment, divergence of people's …
including the emergence of new technology, entertainment, divergence of people's …
A review of the role of heuristics in stochastic optimisation: From metaheuristics to learnheuristics
In the context of simulation-based optimisation, this paper reviews recent work related to the
role of metaheuristics, matheuristics (combinations of exact optimisation methods with …
role of metaheuristics, matheuristics (combinations of exact optimisation methods with …
Urban virtual power plant operation optimization with incentive-based demand response
K Zhou, N Peng, H Yin, R Hu - Energy, 2023 - Elsevier
Urban virtual power plant (VPP) shows great potential in alleviating urban power shortage or
power supply-demand imbalance. This study proposes a bi-layer optimization model …
power supply-demand imbalance. This study proposes a bi-layer optimization model …
Predictive control of reactor network model using machine learning for hydrogen-rich gas and biochar poly-generation by biomass waste gasification in supercritical …
Supercritical water gasification (SCWG) technology can convert biomass into hydrogen rich
gas and biochar. Fluidized bed reactor is promising for the industrialization of this …
gas and biochar. Fluidized bed reactor is promising for the industrialization of this …
Review of learning-assisted power system optimization
With dramatic breakthroughs in recent years, machine learning is showing great potential to
upgrade the toolbox for power system optimization. Understanding the strength and …
upgrade the toolbox for power system optimization. Understanding the strength and …
Optimal coordinated operation scheduling for electric vehicle aggregator and charging stations in an integrated electricity-transportation system
The interdependences between electric power systems and transportation systems are
becoming increasingly tight as the market share of electric vehicles keeps booming …
becoming increasingly tight as the market share of electric vehicles keeps booming …