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

Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies 1st Edition – Ebook PDF Instant 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 of 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 electrical grid management and energy trading

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

People also search:

are machine learning and data science same

how are data science and machine learning related

data science or machine learning which is better

is machine learning necessary for data science

is machine learning data science