Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies

ISBN-13: 9780128197424 / Angielski / Miękka / 2021 / 276 str.

Patrick Bangert

Spis treści

1. Introduction
Patrick Bangert
2. Data science, statistics, and time series
Patrick Bangert
3. Machine learning
Patrick Bangert
4. Introduction to machine learning in the power generation industry
Patrick Bangert
5. Data management from the DCS to the historian and HMI
Jim Crompton
6. Getting the most across the value chain
Robert Maglalang
7. Project management for a machine learning project
Peter Dabrowski
8. Machine learning-based PV power forecasting methods for electrical grid management and energy trading
Marco Pierro, David Moser, and Cristina Cornaro
9. Electrical consumption forecasting in hospital facilities
A. Bagnasco, F. Fresi, M. Saviozzi, F. Silvestro, and A. Vinci
10. Soft sensors for NOx emissions
Patrick Bangert
11. Variable identification for power plant efficiency
Stewart Nicholson and Patrick Bangert
12. Forecasting wind power plant failures
Daniel Brenner, Dietmar Tilch, and Patrick Bangert