This article is aimed to study the modeling problems of combinational signals or periodic
signals. To overcome the computation complexity of modeling the signals with plenty of …

The stochastic nature of wind speed hinders the forecasting of wind power generation. To
improve the accuracy of wind power forecasting and effectively utilize the capability of …

Recent advancements in renewable energy provide a clean, alternative source to fossil
fuels. Smart grids (SGs) work by collecting data about customer requests, comparing them to …

In a smart grid, consumer demand information is collected, centrally evaluated against
current supply conditions and the resulting proposed price information is sent back to …

This paper addresses the challenge of assessing uncertainty in energy flexibility predictions,
which is a significant open question in the energy flexibility assessment field. To address this …

Data-driven models are widely used to predict rate of penetration. However, there are still
challenges on real-time predictions considering influences of formation properties and bit …

A key issue in energy flexibility assessment is the lack of a scalable practicable approach to
quantify and characterise the flexibility of individual residential buildings from an integrated …

Power grids include entities such as home-microgrids (H-MGs), consumers, and retailers,
each of which has a unique and sometimes contradictory objective compared with others …

In recent years, there has been a notable upsurge within the drilling industry regarding the
construction of machine learning models that leverage logging parameters to augment …

In recent decades, cyber security issues in IEC 61850-compliant substation automation
systems (SASs) have become growing concerns. Many researchers have developed various …