£113.12

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£113 today · previous high £113 · all-time low £97

Springer Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting: 956 (Lecture Notes in Electrical Engineering, 956)

Amazon

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£113.12 £95.87 £99.64 £103.40 £107.16 £110.92 £114.69 27 July 2026 14 August 2026 01 September 2026 19 September 2026 08 October 2026
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Price distribution over 74 days • 3 price levels

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14 days 47 days 13 days · current 0 12 24 35 47 £97 £99 £113 Days at Price

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Most common price: £99 (47 days, 63.5%)

Price range: £97 - £113

Price levels: 3 different prices over 74 days

Description

This book provides an introduction to forecasting methods for renewable energy sources integrated with existing grid. It consists of two sections; the first one is on the generation side forecasting methods, while the second section deals with the different ways of load forecasting. It broadly includes artificial intelligence, machine learning, hybrid techniques and other state-of-the-art techniques for renewable energy and load predictions. The book reflects the state of the art in distributed generation system and future microgrids and covers theory, algorithms, simulations and case studies. It offers invaluable insights through this valuable resource to students and researchers working in the fields of renewable energy, integration of renewable energy with existing grid and electrical distribution network.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 January 2023
Listed Since
06 August 2022

Barcode

No barcode data available

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