Destin A. LeBlanc

TL;DR: In this paper , a stochastic-IGDT formulation is developed, by which typical uncertainties are comfortably modelled via scenarios while components' failures are treated in a robust fashion using IGDT.

TL;DR: In this article , a hybrid robust energy management tool for MEMGs encompassing electric, heat, hydrogen and gas sub-networks is proposed, where renewable generation is modelled using the Hong 2m + 1 approach, the electrical and heat demands are managed using the information gap decision theory and the fuel-cell electric vehicles refueling demand is modeled via scenarios.

TL;DR: A novel hybrid method to determine the best locations and sizes of single and multiple of different renewable distributed energy resources (DER) is presented, based on Salp Swarm Algorithm and combined power loss sensitivity (CPLS).

TL;DR: In this paper , a hybrid robust multi-objective home energy management approach is proposed based on information gap decision theory and lexicographic optimization, which are combined in an original way to attain a scheduling plan immune against the negative effect of uncertainties, while the economy and comfort of the building are jointly considered.

TL;DR: In this article , the authors presented a hybrid method based on Salp Swarm Algorithm (SSA) and combined power loss sensitivity (CPLS) to determine the best locations and sizes of single and multiple of different renewable distributed energy resources (DER).