Energy models are valuable tools that are commonly employed for the optimal design of
distributed energy systems (DES). However, the model-based design process of DES can …

In this study, artificial neural network (ANN) based models, which differently uses multiple
local meteorological measurements together such as wind speed, temperature and pressure …

As a part of the Hybrid Intelligent Algorithm, a model based on an ANN (artificial neural
network) has been proposed in this paper to represent hybrid system behaviour considering …

In this study, the traditional Markov chain method for wind speed modeling is analyzed and
two improvements are introduced. New states categorization step and wind speeds …

The installation of renewable energy generation resources (such as photovoltaic arrays and
wind-turbine generators) in a microgrid is important because a microgrid can increase the …

The integration of rising shares of volatile wind power in the generation mix is a major
challenge for the future energy system. To address the uncertainties involved in wind power …

This paper is devoted to proposing a flexible continuous wind speed model based on
mixtures of Markov chain and stochastic differential equations. The motivations are as …

Wind speed model lays the foundation of wind power simulation and is crucial to the
analysis of wind power integrated into power systems. This paper proposes a non …

With the continuous improvement of micro-energy grid, in order to reduce carbon emissions
and environmental pollution, a multi-objective optimization operation strategy considering …

Offshore wind speed is a critical factor that influences various aspects of human life, and
accurate forecasting is of utmost importance for the efficient utilization of offshore resources …