This study evaluates the use of different time series decomposition methods in association
with echo state networks (ESNs), deep echo state networks (DeepESNs), and next …

The use of biomass as a renewable energy source for electricity generation has gained
attention due to its sustainability and environmental benefits. However, the intermittent …

In smart grid management, precise stability prediction is a complicated task that adds to the
effective allocation of resources with grid stability. Specifically, demand-side management is …

Accurate short-term forecasting of power load is essential for the reliable operation of the
comprehensive energy systems of ports and for effectively reducing energy consumption …

The energy sector plays a vital role in driving environmental and social advancements.
Accurately predicting energy demand across various time frames offers numerous benefits …

The electrocardiogram (ECG) signals P-wave, QRS wave and T-wave all reflect the activity
of the heart, and the analysis of ECG signals can provide basic information for the diagnosis …

Accurate day-ahead load forecasting is of great significance to arrange day-ahead schedule
plan, maintain the stability of power system and prolong the service life of equipment. This …

Accurate and scientific power load forecasting is a prerequisite for the scientific formulation
of scheduling programs and power generation plans, and power load forecasting over a …

This paper proposes a novel approach for rumor detection in social media by integrating
multi-modal information fusion. With the prevalence of false information and rumors on …

This study proposes a novel summary generation algorithm that combines TF-IDF, BERT,
and Seq2Seq models and aims to automate summary generation of professional reports in …