Abstract: Power load forecasting is the foundation of maintaining power grid stability, and can assist in decision-making to reduce operating costs. Fine-grained long sequence load forecasting ...
Abstract: The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) technologies is proposed to meet the demands of data rate, latency, and connectivity in ...
A regression model and trading strategy for FreqAI module from freqtrade, a crypto trading bot. ⚠️ Since problems have started to arise with the latest versions of Freqtrade (> 2024.02), I will be ...
This project implements CLAM (CNN-LSTM-AM), a hybrid deep learning model combining Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and an Attention Mechanism (AM) for ...