Articles for tag: AI Research, anomaly detection, data diversity, Forecasting, model development, synthetic data, time series analysis

Market News

Salesforce Enhances Foundation Models with Synthetic Data for Powerful Time Series AI Empowerment

Time series analysis faces major challenges due to limited data availability, quality issues, and inherent biases, which hamper the development of effective models. Real-world datasets often lack the diversity needed for robust forecasting and anomaly detection. Salesforce AI Research offers a solution by utilizing synthetic data to enhance time series models. Their study reveals innovative ...

Market News

India’s renewable energy ambitions are stifled by insufficient weather forecasting, jeopardizing safety and profitability in a rapidly evolving landscape.

India’s renewable energy ambitions are stifled by insufficient weather forecasting, jeopardizing safety and profitability in a rapidly evolving landscape.

India’s renewable energy sector is facing challenges due to inadequate weather forecasting, according to industry leaders. At the BloombergNEF Summit in New Delhi, experts highlighted that the country’s low density of weather stations and infrequent data collection hinder the performance of wind farms and overall clean energy production. Improved weather models are essential for optimizing ...

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