rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Next-generation artificial intelligence driven smart and renewable energy
  name:
    name part: Roy, Provas Kumar
    name part: 1973-
    role:
      role term: editor.
  name:
    name part: Hazra, Sunanda
    name part: 1991-
    role:
      role term: editor.
  name:
    name part: Paul, Chandan
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2025
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest innovative research in the field of renewable energy-integrated electrical systems. This book also describes the practical challenges encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain.Key features: Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systems Describes the principles and methods of renewable energy generation technologies, and an analysis of their implementation, management, and optimization, and related economic advantages Presents critical information on the technological design and policy issues that must be taken into considered while implementing a smart grid Explains of the metaheuristic optimization algorithm for complex electrical systems, and the whale optimization algorithm-based multi-objective hydrothermal scheduling Covers the electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi-oppositional chemical reaction optimization The topics covered including microgrids, wind power, solar photo voltaic (PV), optimal power flow (OPF), grid connected inverter, electric vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, harmonic impedance of a salient pole sync…
  table of contents: 1. Renewable Energy: Opportunities, Applications, and Future Scope of Artificial Intelligence and Internet of Things. 2. Machine Learning-Enhanced Maximum Power Point Tracking for Solar Modules in Photovoltaic Systems. 3. An Alternative Approach to the Modeling of Harmonic Impedance of a Salient Pole Synchronous Generator. 4. Neuro-Fuzzy Based Optimization Techniques. 5. OPF Incorporating FACTS Tools with Renewable Energy by GWA. 6. Solving of Combined Heat and Power Economic Dispatch Problem Using Evolutionary Technic Considering Prohibited Operating Zone. 7. Integrated Modeling and Fabrication of Electric Vehicle for Multi-Criteria Framework-Based Racing Frontier Ecosystems. 8. Application of Artificial Intelligence in Wind Energy Generation. 9. Governing and Empowering Independent Power Producers in South Africa. 10. DQ Current Control Strategies for Single-Phase Grid-Connected Inverter. 11. Chaotic Quasi-Oppositional Differential Search Algorithm for Transient Stability Constraint Optimal Power Flow Problem. 12. Illuminating the Path to a Sustainable Future by Harnessing AI-Powered Renewable Energy Systems.
  target audience: Academic, Postgraduate, and Undergraduate Advanced
  target audience: adult
  note: edited by Provas Kumar Roy, Sunanda Hazra, Chandan Paul.
  note: "CRC Press"
  subject:
    topic: Renewable energy sources
  subject:
    topic: Artificial intelligence
    topic: Engineering applications
  subject:
    topic: Énergies renouvelables
  subject:
    topic: Intelligence artificielle
    topic: Applications en ingénierie
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Renewable energy sources
    topic: Data processing
  subject:
    topic: Electric Vehicles;Image Processing;Electric Vehicle Charging Station;Whale Optimization Algorithm;Spectral and Statistical Analysis;Metaheuristic Optimization
  classification: TJ808
  classification: 333.79/4
  related item:
    title info:
      title: Intelligent data-driven systems and artificial intelligence
  identifier: 9781003628279
  identifier: 1003628273
  identifier: 9781040368367
  identifier: 1040368360
  identifier: 9781040368305
  identifier: 1040368301
  identifier: 9781032761565
  identifier: 9781003628279 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: TYFRS
    record creation date: 250603
    record change date: 20250812154451.6
    record identifier: in00005659124
    language of cataloging:
      language term: eng