Solar Power Forecasting
Using Time Series and Machine Learning
$105.59
- Paperback
188 pages
- Release Date
31 August 2026
Summary
This book takes an approach that leverages methods using time series analysis, machine learning, and stochastic models to effectively forecast solar power. The goal of this book is not only to produce an accurate forecast but also to make it conducive to being used for decision-making.
Solar Power Forecasting: Using Time Series and Machine Learning combines traditional forecasting with recent advances in machine learning and data science. It uses a decision-making-oriented ap…
Book Details
| ISBN-13: | 9781032516950 |
|---|---|
| ISBN-10: | 103251695X |
| Author: | Natarajan Gautam |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Paperback |
| Number of Pages: | 188 |
| Release Date: | 31 August 2026 |
| Weight: | 370g |
| Dimensions: | 156mm x 234mm |
| Series: | Operations Research Series |
You Can Find This Book In
Natarajan Gautam
N. Gautam has been a Professor in the Department of Electrical Engineering and Computer Science at Syracuse University, NY, USA, since January 2022. Before that, he was a faculty member at Texas A&M for over 16 years and at Penn State for 8 years. In addition, Dr. Gautam has been an Amazon Scholar since Fall 2019. His research focuses on optimization and control of stochastic systems with applications in computer-communication networks, renewable energy systems, real-time logistics, and smart manufacturing. Dr. Gautam is a Fellow of the Institute for Industrial and Systems Engineers (IISE).
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.