Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies 1st Edition Patrick Bangert (Ed.)

Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies 1st Edition

Patrick Bangert (Ed.) – Ebook Instant Download/Delivery ISBN(s): 9780128197424,0128197420, 9780128226001, 0128226005

Product details:
• ISBN 10: 0128226005

• ISBN 13: 9780128226001

• Author: Patrick Bangert

Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting.

Table contents: 

1: Introduction

2: Data science, statistics, and time series

3: Machine learning

4: Introduction to machine learning in the power generation industry..

5: Data management from the DCS to the historian and HMI

6: Getting the most across the value chain

7: Project management for a machine learning project

8: Machine learning-based PV power forecasting methods for ele…

9: Electrical consumption forecasting in hospital facilities

10: Soft sensors for NOx emissions

11: Variable identification for power plant efficiency

12: Forecasting wind power plant failures

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