Optimisation of water distribution system design is a well-established research field, which
has been extremely productive since the end of the 1980s. Its primary focus is to minimise …

The presence of multiple uncertainties in demand response and renewable energy
generation significantly impeded the planning of integrated energy systems (IES). To …

Integrated energy system (IES) plays a vital role in achieving energy revolution and the
goals of carbon peak and carbon neutrality. The optimal planning of IES is of great …

Wind power forecasting has high application value in power systems. However, due to the
intermittence and fluctuation of wind power, it is difficult to predict wind power effectively …

In recent years, the effective application of wind power forecasting in power system has
been approved. However, owing to the intermittence and nonlinearity of wind power time …

In the grid-connected photovoltaic system (GPVS), due to characteristics of fluctuation and
intermittency for photovoltaic solar power, and high randomness for electric load, it is of …

Cuckoo search optimization algorithm is a biologically inspired optimization algorithm, which
is widely used to solve many optimization problems. However, it has been empirically …

Feature selection problems often appear in the application of data mining, which have been
difficult to handle due to the NP-hard property of these problems. In this study, a simple but …

This article proposes a robust end-to-end deep learning-induced fault recognition scheme
by stacking multiple sparse-denoising autoencoders with a Softmax classifier, called stacked …

This study develops an R-mathematical programming method for multiple attribute group
decision-making (MAGDM) problems with assessment values of alternatives and truth …