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 ...

10 things I learned from burning myself out with AI coding agents

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
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 ...
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 ...