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CRC Press Solar Power Forecasting: Time Series & Machine Learning

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£129.20 £122.74 £125.32 £127.91 £130.49 £133.08 £135.66 01 September 2026 09 September 2026 17 September 2026 25 September 2026 03 October 2026
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Description

Solar Power Forecasting: Using Time Series and Machine Learning from CRC Press is an essential reference for energy professionals, data scientists, and researchers seeking to master predictive analytics in renewable energy. This Operations Research Series volume combines foundational concepts with practical methodologies for forecasting solar power generation using advanced statistical and machine learning techniques. The book addresses the critical challenge of integrating solar energy into power grids by providing proven approaches to time series analysis, model development, and validation. Whether you're optimising grid operations, planning renewable infrastructure, or improving energy management strategies, this comprehensive guide equips you with the analytical tools and real-world applications needed to enhance forecast accuracy and reliability. Ideal for academic study, professional development, or as a practical resource in energy analytics and operations research.

Key Features

CRC Press Operations Research Series volume focused on solar energy forecasting methodologies and applications.

Comprehensive coverage of time series analysis techniques specifically adapted for solar power generation data.

Integrated machine learning approaches for building accurate and reliable solar forecasting models.

Essential resource for improving power grid integration, energy planning, and operational decision-making.

Combines theoretical foundations with real-world case studies and implementation strategies for solar forecasting.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 August 2026
Listed Since
22 January 2026

Barcode

No barcode data available

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