How AI And LLMs Are Redefining Demand Forecasting In The Automotive Aftermarket

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...
IEEE

Multimodel Forecasting of Technology-Focused ETFs Using ARIMA and LSTM

Abstract: This study presents a comparative approach to short-term forecasting of five technology-focused exchange-traded funds (ETFs)—AIQ, BOTZ, QQQ, VGT, and XLK—using two modelling techniques: the ...

Python libraries used in top AI and ML tools hacked

Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...
GitHub

Global Horizontal Irradiance Forecasting

Abstract: This research aims to develop an accurate and efficient deep learning approach for forecasting Global Horizontal Irradiance (GHI) to facilitate better integration of solar energy into ...
IEEE

Weather-Aware Solar Energy Forecasting Using Hybrid ARIMA-LSTM Model

Abstract: Solar energy forecasting presents a critical component for maximizing the utilization of energy from renewable sources, but it remains unclear whether the role that Atmospheric variability ...