The main purpose of this study is to support a retail electric provider (REP) to make the best
day-ahead dynamic pricing decisions in a realistic scenario. These decisions are made with …

The expansion of distributed electricity generation and the increasing capacity of installed
battery storage systems at the community level have posed challenges to efficient technical …

Demand response programs are essential to enable accommodating larger shares of
variable power generation based on renewable sources, the deployment of which is …

Today, power system planning requires simultaneous attention to supply and demand side
management. It has gained remarkable attention due to the advent of new technological …

This paper presents a stochastic bi-level approach for tariff design in the electricity market
where the leader is represented by a retailer and the follower by a residential prosumager …

In modern buildings renewable energy generators and storage devices are spreading, and
consequently the role of the users in the power grid is shifting from passive to active. We …

This paper addresses the electricity pricing problem with demand-side flexibility. The
interaction between an aggregator and the prosumers within a coalition is modeled by a …

In the electricity retail market, the retailer company aims to determine the optimal time-of-use
(ToU) prices to maximize profits resulting from buying energy in organized (long-term, day …

One-level optimization methods have been proposed to optimize the load profile of a single
user or a cluster of users in the smart grids. In this work, two two-level optimization methods …

One-level optimization methods have been proposed to optimize a single user's load profile
or a cluster of users in the smart grids. In this work, two two-level optimization methods are …