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Solar Power Forecasting : Using Time Series and Machine Learning
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781032515328
- ISBN-10: 1032515325
- Publisher: CRC Press
- Publish Date: August 2026
- Dimensions: 9.21 x 6.14 x 0.5 inches
- Shipping Weight: 1.02 pounds
- Page Count: 188
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