• Produktbild: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
  • Produktbild: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.03.2022

Abbildungen

75 illustrations (25 in full color)

Herausgeber

Krishna Kumar + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

416

Maße (L/B/H)

22,9/15,2/2,2 cm

Gewicht

555 g

Sprache

Englisch

ISBN

978-0-323-91228-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.03.2022

Abbildungen

75 illustrations (25 in full color)

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

416

Maße (L/B/H)

22,9/15,2/2,2 cm

Gewicht

555 g

Sprache

Englisch

ISBN

978-0-323-91228-0

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

Herstelleradresse

Elsevier Science & Technology
125 London Wall
EC2Y 5AS London
GB
tradeorders@elsevier.com

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  • Produktbild: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
  • Produktbild: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
  • 1. Application of Alternative Clean Energy
    2. Optimization of Hybrid energy generation
    3. IoET-SG: Integrating Internet of Energy Things with Smart Grid
    4. Evolution of High Efficiency PERC Solar Cells
    5. Online Based Approach for Frequency Control of Micro- Grid Using Biological Inspired Based Intelligent Controller
    6. Optimal Allocation of Renewable Energy Sources in Electrical Distribution Systems Based on Technical and Economic Indexes
    7. Optimization of Renewable Energy Sources Using Emerging Computational Techniques
    8. Advanced renewable dispatch with machine-learning based hybrid demand-side controller: state-of-the-art and a novel approach
    9. Machine learning-based robust and reliable design on PCMs-PV systems with multi-level scenario uncertainty
    10. Agent-based peer-to-peer energy trading between prosumers and consumers with cost-benefit business models
    11. Machine learning-based hybrid demand-side controller for renewable energy management
    12. Prediction of Energy Generation Target of Hydropower Plants using Artificial Neural Network
    13. Response surface methodology based optimization of Parameters for Biodiesel Production
    14. Reservoir Simulation Model for the Design of Irrigation Project
    15. Effect of Hydrofoils on the Starting Torque Characteristics of Darrieus Hydrokinetic Turbine