IEEE

A Short-Term Photovoltaic Power Forecasting Method Based on Meteorological Data Using GRF-LSTM-XGBoost Model

Abstract: This paper proposes a short-term photovoltaic power forecasting method based on a Genetic Algorithm-Random Forest (GRF)-LSTM-XGBoost hybrid model, aimed at improving accuracy by addressing ...

The Forecasting Fix That Wall Street Missed

A new study shows why traditional valuation ratios like price/dividend and CAPE fail to predict stock returns—and how ...
Frontiers

From Black Box to Glass Box: Trustworthy AI for Live Quantitative Investment

The mainstream adoption of machine learning in investment management has created a widening gap between predictive ...
Accounting TodayOpinion

Moving beyond the spreadsheet to continuous forecasting

The traditional spreadsheet model of financial planning is officially broken. It did not break quietly, and it was not broken ...
IEEE

Transformers for Multivariate Time Series Forecasting: Comprehensive Analysis, Challenges, Research Opportunities, and Future Prospects

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...
Reuters

Microsoft limits employee use of Anthropic's Claude Fable 5 over data retention concerns, The Verge reports

June 10 (Reuters) - Microsoft (MSFT.O), opens new tab is limiting employees' use of Anthropic's Claude Fable 5 because of the AI startup's new data retention requirements, The Verge reported on ...