Better understanding the behavior of various participants in smart grids, such as electricity
consumers and generators, is important and beneficial for flexibility exploration and …

Electricity deregulation has intensified competition in the clean energy sectors, notably
within cascaded hydropower systems. Due to the natural interdependencies among …

With the worldwide restructuring of power markets, it is more meaningful to analyze the
bidding behaviors of generation companies (GENCOs). A realistic bidding behavior model …

The bidding behaviors of the energy storage systems (ESS) are complicated due to time
coupling and market coupling limited by their capacity states. The existing research is mainly …

Demand response (DR) leverages demand-side flexibility, offering a promising approach to
enhance market conditions like mitigating wholesale price spikes. However, poorly chosen …

Due to the deregulation of power systems worldwide, bidding behavior simulation research
has gained prominence. One crucial element in these studies is accurately defining and …

In the last decade, data analytics studies have covered a wide range of fields across the
entire value chain in the electricity sector, from production and transmission to the electricity …

Efficient cross-regional allocation of hydropower is critical for the low-carbon energy
transition. However, co-optimizing bidding curves for different regional markets presents …

Driven by the development of the multi-level and unified electricity market in China, large-
scale hydropower stations serving multiple power grids (LHSMPGs) have recently been …

In the smart grid era, the number of data available for different applications has increased
considerably. However, data could not perfectly represent the phenomenon or process …