Abstract: Long short-term memory (LSTM) has been widely adopted in tasks with sequence data, such as speech recognition and language modeling. LSTM brought significant accuracy improvement by ...

Deep Reinforcement Learning (DRL) stock trading system with LSTM-PPO, integrating technical indicators and FinBERT-based news sentiment analysis. Comparison of different Deep Reinforcement Learning ...

拓端(tecdat.cn)分享最in的大数据资讯，提供“一站式”的数据分析学习和咨询体验，让我们一起做有态度的数据人。

4.2 LSTM LSTM has a good performance in processing time-series data. The data involved in the line loss rate are time-series data, such as temperature, weather forecast data, daily load rate, and so ...

Abstract: In this paper, we propose a Photovoltaic(PV) power prediction method based on LSTM in a federated learning architecture. The local PV prediction model uses a long short-term memory (LSTM) ...