Short-term wind power prediction is challenging due to the chaotic characteristics of wind
speed. Since, for wind power industries, designing an accurate and reliable wind power …

This paper proposes a novel optimization strategy for hybrid-renewable energy systems in
microgrids. The multi-objective optimization approach is formulated for a PV-wind-diesel …

With the rapid development of information and energy generation technologies, the multi-
level integrated energy system (IES) with multiple energy suppliers and end users has been …

Abstract Power-to-gas (P2G) provides a new means for accommodating abandoned new
energy that will support the optimal operation of virtual power plants (VPPs) in the future. In …

In order to make full use of distribute energy resources and decrease the abandoned energy
of clean energy, the paper aggregates wind power plant (WPP), photovoltaic power …

This paper presents a literature review and analysis of fuzzy linear programming models
and methods. This review traces back to the linear programming with fuzzy linear constraints …

Hybrid renewable energy systems (HRESs) draw considerable research interest because of
their potential to reduce fuel consumption and greenhouse gas emissions. These factors …

In this paper, an optimization model for optimal size and dispatch planning of micro
combined heat and power systems regarding distinct structures for the inclusion of the …

Energy hub system planning is a large-scale discrete multiobjective problem and it also
belongs to a Stackelberg game. It is difficult to obtain a solution to this problem in a limited …

To achieve China's 2030 goals for renewable energy development, this paper proposes a
constrained fuzzy multi-objective optimization (FMO) model to obtain the optimal generation …