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Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities
The rising significance of renewable energy increases the importance of representing time-
varying input data in energy system optimization studies. Time-series aggregation, which …
varying input data in energy system optimization studies. Time-series aggregation, which …
[HTML][HTML] A review on time series aggregation methods for energy system models
Due to the high degree of intermittency of renewable energy sources (RES) and the growing
interdependences amongst formerly separated energy pathways, the modeling of adequate …
interdependences amongst formerly separated energy pathways, the modeling of adequate …
Optimal planning for electricity-hydrogen integrated energy system considering multiple timescale operations and representative time-period selection
As the integration of renewable energy sources (RES) progresses and energy technologies
advance, integrated energy systems (IES) have emerged as a practical solution for …
advance, integrated energy systems (IES) have emerged as a practical solution for …
Using Bayesian deep learning to capture uncertainty for residential net load forecasting
Decarbonization of electricity systems drives significant and continued investments in
distributed energy sources to support the cost-effective transition to low-carbon energy …
distributed energy sources to support the cost-effective transition to low-carbon energy …
Resilience-driven optimal sizing and pre-positioning of mobile energy storage systems in decentralized networked microgrids
Networked microgrids are considered an effective way to enhance resilience of localized
energy systems. Recently, research efforts across the world have been focusing on the …
energy systems. Recently, research efforts across the world have been focusing on the …
The Pareto-optimal temporal aggregation of energy system models
The growing share of intermittent renewable energy sources, storage technologies, and the
increasing degree of so-called sector coupling necessitates optimization-based energy …
increasing degree of so-called sector coupling necessitates optimization-based energy …
Long term storage in generation expansion planning models with a reduced temporal scope
To reduce the computation time of Energy System Optimization Models and Generation
Expansion Planning Models operational detail is typically limited to several hours, days, or …
Expansion Planning Models operational detail is typically limited to several hours, days, or …
On representative day selection for capacity expansion planning of power systems under extreme operating conditions
Capacity expansion planning (CEP) of power systems determines the optimal future
generation mix and/or transmission lines. Due to the increasing penetration of renewables …
generation mix and/or transmission lines. Due to the increasing penetration of renewables …
A three-level planning model for optimal sizing of networked microgrids considering a trade-off between resilience and cost
Extreme events can cause severe power system damage. Resilience-driven operation of
networked microgrids (MGs) has been heavily studied in literature. There is, though, little …
networked microgrids (MGs) has been heavily studied in literature. There is, though, little …
Power-based generation expansion planning for flexibility requirements
Flexibility requirements are becoming more relevant in power system planning due to the
integration of variable Renewable Energy Sources (vRES). In order to consider these …
integration of variable Renewable Energy Sources (vRES). In order to consider these …