The article is based on the relationship between eco-city and distributed energy planning,
and believes that energy planning is conducive to economic development, energy …

In hydro predominant systems, the long-term hydrothermal scheduling problem (LTHS) is
formulated as a multistage stochastic programming model. A classical optimization …

In this paper, we propose a three-stage robust generation and transmission expansion
planning model considering generation profiles of renewable energy sources (RES) affected …

The current state-of-the-art method used for medium-and long-term planning studies of
hydrothermal power system operation is the stochastic dual dynamic programming (SDDP) …

Combined heat and power systems (CHPs) have received much attention in recent years
due to increasing use of bio-fuels and distributed generation (DG). Conventionally, they are …

This work investigates lot sizing with component substitution under demand uncertainty. The
integration of component substitution with lot sizing in an uncertain demand context is …

Operation planning models for hydro-dominated power systems usually use low temporal
resolutions due to the excessive computational burden, thus ignoring short-term …

Dynamic portfolio optimization has a vast literature exploring different simplifications by
virtue of computational tractability of the problem. Previous works provide solution methods …

The long-term operation planning problem is generally solved by a chain of computational
models based on Stochastic Dual Dynamic Programming (SDDP) considering a period of 5 …

We are interested in the potential risk of short-term load imbalance in hydro-thermal power
systems under high integration of renewable energy sources, including wind, solar, and …