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£101.39
Springer Prediction Techniques for Renewable Energy Generation
Price data last checked 48 day(s) ago - refreshing...
Price History & Forecast
Last 43 days • 43 data points (No recent data available)
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Price distribution over 43 days • 4 price levels
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Most common price: £121 (25 days, 58.1%)
Price range: £101 - £121
Price levels: 4 different prices over 43 days
Description
Key Features
Part of the prestigious Springer Lecture Notes in Electrical Engineering series, volume 956.
Focuses on specialized prediction techniques for renewable energy generation and load demand.
Provides technical insights suitable for the AI and machine learning computer science category.
Developed by Springer to support advanced studies in electrical engineering and energy forecasting.
Serves as a targeted resource for researchers and engineers working with renewable energy systems.
Product Specifications
- Brand
- Springer
- Format
- Paperback
- ASIN
- 9811964920
- Domain
- Amazon UK
- Release Date
- 21 January 2024
- Listed Since
- 26 December 2023
Barcode
No barcode data available
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