Neural networks have demonstrated considerable success on a wide variety of real-world
problems. However, networks trained only to optimize for training accuracy can often be …

Lithium-ion batteries are currently one of the key technologies for a sustainable energy
transition. However, they have a limited calendar and cycle lifetime, which are directly …

Discrete black-box optimization problems are challenging for model-based optimization
(MBO) algorithms, such as Bayesian optimization, due to the size of the search space and …

To solve economic dispatch (ED) with nonconvex nonlinear generation cost functions, this
paper adopts a global optimization technique where piecewise linear approximation (PLA) …

Combined heat and power economic dispatch (CHPED) can enhance energy efficiency
compared with conventional economic dispatch (ED). From the optimization standpoint, the …

The uptake of behind-the-meter distributed energy resources (DER) raises the likelihood of
voltage problems in low-voltage distribution networks. Network operators increasingly …

In light of the increasing coupling between electricity and gas networks, this paper
introduces two novel iterative methods for efficiently solving the multiperiod optimal …

The discovery of scientific formulae that parsimoniously explain natural phenomena and
align with existing background theory is a key goal in science. Historically, scientists have …

As one of the most widely installed utility-scale storage facilities, pumped storage hydro
(PSH) plays an essential role in providing flexibility for power systems worldwide. Thus, to …

Dispatch of battery storage systems for stationary grid applications is a topic of increasing
interest: due to the volatility of power system's energy supply relying on variable renewable …