Installed capacities of wind and solar power have grown rapidly over recent years, and the
pool of literature on very short-term (minutes-to hours-ahead) wind and solar forecasting has …

Untimely machinery breakdown will incur significant losses, especially to the manufacturing
company as it affects the production rates. During operation, machines generate vibrations …

Abstract After signing the Paris Agreement and piloting carbon trading for many years, China
has taken a significant step toward carbon neutrality. Carbon price forecasting is helpful to …

Ultra-short-term power load forecasting refers to the use of load and weather information
from the prior few hours to forecast the load for the next hour, which is very important for …

Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation
of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant …

Significant fluctuations in the price of crude oil in recent years make accurate price
estimations of critical importance. A reliable method for crude oil price forecasting is …

In order to solve the security threat brought by the volatility and randomness of large-scale
distributed wind power, this paper proposed a wind power prediction model which integrates …

Wind speed is the key factor of wind power generation. With the increase of the proportion of
wind power generation in total power generation, the accurate prediction of wind speeds …

Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …

The goal of sustainable development can be attained by the efficient management of
renewable energy resources. Wind energy is attracting attention worldwide due to its …