Abstract: This letter proposes an absolute value based method to solve the interval linear optimization ... to security constrained economic dispatch (SCED). To avoid expensive computation associated ...

Abstract: In this paper, a new method to address the scheduling problem of a renewable energy community while considering network constraints ... the optimization solution into two interacting ...

The chemical industry is making significant investments in clean energy technologies, such as green hydrogen, carbon capture and storage, electric heating, and electrochemical processes to reduce ...

Modern RF design software integrates AI automation, cloud HPC, and multi-technology workflows to address 5G/6G demands and ...

To solve the model, a proxy-based optimization approach is proposed, where a semiparametric statistical method (i.e., clusterwise linear regression ... be significantly reduced if it is regarded as ...

The study introduces an AI-driven approach to concrete mix design, optimizing for strength and sustainability while reducing ...

SMi Group reports: Alina Alexeenko of Purdue University presenting LyoHub's overview and strategies for the future of lyophilization and alternatives to conventional methods Optimization of ...

The strategy for encoding Petri nets as chained linear lists involves two structures: one for PList placements and one for TList transitions. This is the orthogonal representation of chained linear ...

Typically superior to CPT, but also more expensive to compute. Implemented once classically as a fixed-point iteration, once as a nonlinear optimization method. The latter typically leads to better ...

2024). Our solution: This study integrates carbon emissions as a hard constraint into the robust optimization framework. Combined with the robust optimization method, the stability of carbon emission ...