IEEE

From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning

Abstract: Accurate short-term power load forecasting is important to effectively manage, optimize, and ensure the robustness of modern power systems. This paper performs an empirical evaluation of a ...
GitHub

MRP Item Forecast Upload

Create New Item Forecast Entries. Update Existing Item Forecast Entries. Delete Existing Item Forecast Entries (Delete by setting the Forecast Quantity = 0). Opens an empty spreadsheet where the user ...
GitHub

coffeegrind123/gemini-for-claude-code

This server acts as a bridge, enabling you to use Claude Code with Google's powerful Gemini models. It translates API requests and responses between the Anthropic format (used by Claude Code) and the ...
IEEE

Improving Stock Market Trend Forecasting Using ARIMA and Machine Learning

Abstract: Predicting stock market trends accurately is challenging due to the natural unpredictability and complexity of financial data. Traditional time series models, such as ARIMA, are effective in ...