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Könyv Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting Anuradha Tomar

Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

Szerző: Anuradha Tomar, Prerna Gaur, XiaoLong Jin
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer, Berlin
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
62 313 Ft
This book provides an introduction to forecasting methods for renewable energy sources integrated wi...

Információk a könyvről

Szerző
Anuradha Tomar, Prerna Gaur, XiaoLong Jin
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2023
oldal
198
EAN
9789811964893
Enbook ID
41378856
Kiadó
Springer, Berlin
Súly
498
Méretek
155 x 235

Teljes leírás

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.

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