Big Data Analytics in Energy: A comprehensive Guide And Pythonic Approach - (1.74 MB) - - Prose, David, Van Der Post, Hayden - - Reactive Publishing -
Reactive Publishing
In an era where energy efficiency and sustainable practices are at the forefront of global consciousness, 'Big Data Analytics in Energy' offers a groundbreaking exploration of modern analytical techniques that are revolutionizing the way we understand and manage our energy resources.
As a nexus between technology and energy management, this comprehensive guide delves deep into the use of cutting-edge big data tools and techniques for the analysis of energy data. Readers will embark on a journey through the fascinating world of predictive analytics, machine learning, and advanced statistical methods, tailored specifically for the complexities and scale of energy sector data.
With a practical approach that encompasses the widely-used Python programming language and Jupyter Notebook, 'Big Data Analytics in Energy' stands as an indispensable resource for analysts, engineers, data scientists, and policy makers seeking to harness the power of big data to innovate and optimize energy consumption.
Whether you're looking to improve renewable energy forecasting, enhance smart grid operations, or optimize energy distribution, this book will equip you with the insights and skills necessary to propel your work to the next level. Step-by-step tutorials, real-world examples, and downloadable code snippets transform complex concepts into actionable knowledge, ensuring that even readers with a basic understanding of data analytics can effectively apply these techniques in their professional endeavors.
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️ B0CQ2JY6NS.epub (1.74 MB)
️ Big Data Analytics in Energy A comprehensive Guide And Pythonic Approach (1.74 MB)
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