Cover Image

Machine learning and data science in the power generation industry /

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.

Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Format:	eBook
Language:	English
Published:	Amsterdam : Elsevier, 2021.
Subjects:	Electric utilities > Data processing. Machine learning. Bangert, Patrick. Services publics d'électricité > Informatique. Apprentissage automatique. Electric utilities > Data processing Machine learning Electronic books.
Online Access:	Connect to the full text of this electronic book

Similar Items

Understanding electric utilities and de-regulation /
by: Philipson, Lorrin, 1945-
Published: (2006)

Diffusion of innovative energy services : consumers' acceptance and willingness to pay /
by: Kowalska-Pyzalska, Anna
Published: (2024)

Diffusion of innovative energy services : consumers' acceptance and willingness to pay /
by: Kowalska-Pyzalska, Anna
Published: (2024)

Machine learning in chemistry : data-driven algorithms, learning systems, and predictions /
Published: (2019)

Machine learning for planetary science /
Published: (2022)

Mapping power : the political economy of electricity in India's states /
Published: (2018)

The electric power industry : a nontechnical guide /
by: Gallo, Andrew, 1960-, et al.
Published: (2022)

Machine learning for transportation research and applications /
by: Wang, Yinhai, et al.
Published: (2023)

Electricity pricing : engineering principles and methodologies /
by: Vogt, Lawrence J.
Published: (2009)

The cost of electricity /
by: Breeze, Paul
Published: (2021)

An analysis of financial and regulatory models of electric utilities /
by: Torre, Alicia
Published: (1981)

Decentralized frameworks for future power systems : operation, planning and control perspectives /
Published: (2022)

Supervised machine learning in wind forecasting and ramp event prediction /
by: Dhiman, Harsh S., et al.
Published: (2020)

Heavy current electricity in the United Kingdom : history and development /
by: Hinton of Bankside, Christopher Hinton, Baron, 1901-1983
Published: (1979)

Mathematical modelling of contemporary electricity markets /
Published: (2021)

Machine learning in quantum sciences /
by: Dawid, Anna
Published: (2025)

Machine learning for biometrics : concepts, algorithms and applications /
Published: (2022)

Machine learning for small bodies in the solar system /
Published: (2025)

Applied Machine Learning for Data Science Practitioners.
by: Subramanian, Vidya
Published: (2025)

Machine learning and data science in the oil and gas industry : best practices, tools, and case studies /
Published: (2021)

Handbook of hydroinformatics.
Published: (2022)

Optimal operation of active distribution networks : congestion management, voltage control and service restoration /
Published: (2024)

From Edison to Enron : the business of power and what it means for the future of electricity /
by: Munson, Richard
Published: (2005)

MACHINE LEARNING AND DEEP LEARNING TECHNIQUES FOR MEDICAL IMAGE RECOGNITION.
Published: (2023)

Machine learning for membrane separation applications /
by: Rezakazemi, Mashallah, et al.
Published: (2025)

Machine learning for membrane separation applications /
by: Rezakazemi, Mashallah, et al.
Published: (2025)

Machine learning and hybrid modelling for reaction engineering : theory and applications /
Published: (2024)

Using machine learning to manage & analyze unstructured financial services data : Pendo Systems.
Published: (2019)

Machine learning for powder-based metal additive manufacturing /
Published: (2025)

Machine learning for powder-based metal additive manufacturing /
Published: (2025)

Machine learning and knowledge discovery for engineering systems health management /
Published: (2012)

Machine intelligence in mechanical engineering /
Published: (2024)

Electricity pricing : regulated, deregulated and smart grid systems /
by: Sen, Sawan, et al.
Published: (2015)

Applied machine learning for data science practitioners /
by: Subramanian, Vidya, 1978-
Published: (2025)

Local electricity markets /
Published: (2021)

Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /
by: Gutman, Alex J., et al.
Published: (2021)

Mathematical modelling of contemporary electricity markets /
Published: (2021)

Machine learning and data mining : introduction to principles and algorithms /
by: Kononenko, Igor, 1959-
Published: (2007)

Machine Learning in Earth, Environmental and Planetary Sciences : Theoretical and Practical Applications /
by: Bonakdari, Hossein, et al.
Published: (2023)

A study in econometrics : the demand for electricity in the United States /
by: Fisher, Franklin M.
Published: (1962)