19 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.CE2024★ 1 cited
Application of an ANN and LSTM-based Ensemble Model for Stock Market Prediction
Fang Liu, Shaobo Guo, Qianwen Xing +5
Stock trading has always been a key economic indicator in modern society and a primary source of profit for financial giants such as investment banks, quantitative trading firms, a…
cs.LG2022★ 2 cited
An Intelligent End-to-End Neural Architecture Search Framework for Electricity Forecasting Model Development
Jin Yang, Guangxin Jiang, Yinan Wang +1
Recent years have witnessed exponential growth in developing deep learning (DL) models for time-series electricity forecasting in power systems. However, most of the proposed model…
eess.SP2020★ 19 cited
Two-stage short-term wind power forecasting algorithm using different feature-learning models
Jiancheng Qin, Jin Yang, Ying Chen +2
Two-stage ensemble-based forecasting methods have been studied extensively in the wind power forecasting field. However, deep learning-based wind power forecasting studies have not…