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Cover of Solar Power Forecasting: Using Time Series and Machine Learning

Solar Power Forecasting

Using Time Series and Machine Learning

Natarajan Gautam
Operations Research Series, CRC Press (Taylor & Francis), 2026.

Hardcover – Routledge eBook – Taylor & Francis

About the book

This book presents a practical, hands-on treatment of solar power forecasting using both classical time-series methods and modern machine learning tools. Topics include ARIMA, SARIMA, and SARIMAX models; gradient boosting and XGBoost; quantile regression and uncertainty quantification; and microgrid optimization — illustrated throughout with real solar-irradiance and generation data.

Table of contents

Table of contents to be added.

Errata

None reported yet.