Since the energy sector is the dominant contributor to global greenhouse gas emissions, the
decarbonization of energy systems is crucial for climate change mitigation. Two major …

Developments such as the increasing electrical energy demand, growth of renewable
energy sources, cyber–physical security threats, increased penetration of electric vehicles …

The rising significance of renewable energy increases the importance of representing time-
varying input data in energy system optimization studies. Time-series aggregation, which …

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 …

Given its physical characteristics and the range of services that it can provide, energy
storage raises unique modeling challenges. This paper summarizes capabilities that …

Optimization-based frameworks for energy system modeling such as TIMES, ETHOS. FINE,
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …

Determining environmentally-and economically-optimal energy systems designs and
operations is complex. In particular, the integration of weather-dependent renewable energy …

The correct management of renewable polygeneration systems is a highly effective
approach that can not only help expand renewable energy systems but also ensure …

As a result of the inherent limitations of wind and solar energy with regards to their
unpredictable fluctuations, the implementation of wind-solar-thermal power dispatching has …

With the increasingly widespread of advanced metering infrastructure, electric load
clustering is becoming more essential for its great potential in analytics of consumers' …