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 …

Towards the end of 20th and beginning of the 21st centuries, interest has risen in new and
renewable energy (RE) sources especially wind energy for electricity generation. The …

Hourly wind speed time series data of two meteorological stations in Malaysia have been
used for stochastic generation of wind speed data using the transition matrix approach of the …

A Wind power forecasting method based on the use of discrete time Markov chain models is
developed starting from real wind power time series data. It allows to directly obtain in an …

Abstract So-called Measure-Correlate-Predict (MCP) methods have been extensively
proposed in renewable energy related literature to estimate the wind resources that …

As the objective of this study, artificial neural network (ANN) and Markov chain (MC) are
used to develop a new ANN–MC model for forecasting wind speed in very short-term time …

Short term solar radiation forecasting is significant for the operation of big installations and
the electrical grid. There are many short term forecasting techniques in the literature. In this …

Droughts reduce hydropower production and heatwaves increase electricity demand,
forcing power system operators to rely more on fossil fuel power plants. However, less is …

Wind power is currently one of the types of renewable energy with a large generation
capacity. However, operation of wind power generation is very challenging because of the …

The wind power industry has experienced rapid growth over the past few decades, but the
operation and maintenance costs have become huge challenges to achieve better …