The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …

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

Ocean energy technologies are in their developmental stages, like other renewable energy
sources. To be useable in the energy market, most components of wave energy devices …

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 …

Capacity expansion planning (CEP) of power systems determines the optimal future
generation mix and/or transmission lines. Due to the increasing penetration of renewables …

Accelerating the deep decarbonization of the world's electric grids requires the coordination
of complex energy systems and infrastructures across timescales from seconds to decades …

This research manuscript proposes an Improved Manta Ray Foraging Optimization (IMRFO)
algorithm for the power system congestion cost problem. The goal of the proposed …

Long-term portfolio optimization is commonly used to find the most cost-effective design and
operation of a district heating system, subject to technical, financial, and environmental …

The transition towards sustainable energy systems has gained significant importance
globally due to high levels of environmental pollution caused by the use of fossil fuels. This …

Optimization models for expansion planning of power systems aim to determine capacities,
investment timing, and location of power systems to satisfy the power demands while …