The optimal co-planning of the integrated energy system (IES) and machine learning (ML)
application on the multivariable prediction of IES parameters have mostly been carried out …

Community Microgrid offers effective energy harvesting from distributed energy resources
and efficient energy consumption by employing an energy management system (EMS) …

Microgrids have emerged as a promising solution to integrate distributed energy resources
(DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the …

This article provides a systematic review of recent progress in optimization-based process
synthesis. First, we discuss multiscale modeling frameworks featuring targeting approaches …

Crystalline materials enable essential technologies, and their properties are determined by
their structures. Crystal structure prediction can thus play a central part in the design of new …

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 …

Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …

The optimal operation of multi-energy systems based on energy hubs (EHs) is a significant
challenge for operators due to the mutual impact of different energies and the uncertainty of …

Production planning, scheduling and sequencing comprise the core of the manufacturing
companies' performance. The new and changing market demands make manufacturing a …

Discovering governing equations of complex dynamical systems directly from data is a
central problem in scientific machine learning. In recent years, the sparse identification of …