Moving to a user-centric approach is seen as a key change of paradigm in order to increase
the efficiency and sustainability of energy systems. Massive integration of new economic …

This paper presents a comprehensive scheduling framework for residential demand
response (DR) programs considering both the day-ahead and real-time electricity markets …

We study a multi-block separable convex optimization problem with the linear constraints,
where the objective function is the sum of m individual convex functions without overlapping …

Stochastic programming has become increasingly vital in energy applications, especially in
the context of the growing need for renewable energy solutions. This paper presents a …

In order to overcome the problems of low upload rate and poor data integrity of traditional
teaching resource sharing platforms, the paper proposes a regional digital teaching …

This research explores the use of stochastic optimization in finding the optimal size of hybrid
renewable energy systems that combine two or more renewable energy sources. The goal is …

Multi-forecast model predictive control (MF-MPC) is a control policy that creates a plan of
actions over a horizon for each of a given set of forecasted scenarios or contingencies, with …

In this paper, we have dealt with the solution of a two-stage stochastic programming problem
using ADMM. We have formulated the problem into a deterministic three-block separable …

The increasing number of gas-fired units has significantly intensified the coupling between
power and gas networks. Traditionally, the nonlinearity and nonconvexity in gas flow …

The existence of random solutions to random optimization problems Skip to content Should
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