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Artificial Intelligence in Electrical Power & Energy
Submission Deadline: Aug. 15, 2020

This special issue currently is open for paper submission and guest editor application.

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Lead Guest Editor
Sweta J Shah
Department of Electrical Engineering, Indus University, Ahmedabad, India
Guest Editors
  • Jaydeep Chakravorty
    Department of Electrical Engineering, Indus University, Ahmedabad, India
  • Sandeep Chakravorty
    Department of Electrical Engineering, Indus University, Ahmedabad, Gujarat, India
  • Dipesh Patel
    Department of Electric, Gujarat Technological University, Ahmedabad, Gujarat, India
  • Sanjay Vyas
    Department of Electric, LDRP Institute of Technology and Research, Gandhinagar, India
  • Rajesh Singh
    Department of Electric, Lovely Professional University, Phagwara, Punjab, India
  • Vinay Bhatia
    Department of Electric, Chandigarh Group of Colleges, Chandigarh, Punjab, India
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=523). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

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Special Issue

Presently with Artificial Intelligence (AI), many constraints can be handled easily such as economic load dispatch, load forecasting, optimization of generation and scheduling, transmission capacity and optimal power flow, real and reactive power limits of generators, bus voltages and transformer taps, load demand in interconnected large power system and their protections etc. Now, most of the efforts in power system analysis have been successfully reduced by AI techniques.
For industrial development with power system expansion; stability, strengthening, reliability, technical advancements, selection and dynamic response of the power system are essential. With the growth of the power system, complexity in the networks is increased tremendously. As a consequence of this power system analysis by conventional techniques and conclusions from the acquired data, the process for the information, management of remote devices and utility became more complicated and time-consuming. As necessity is the mother of invention, AI is developed with the help of sophisticated computer tools and applied to resolve all aforesaid problems for large power systems.
Aims and Scope:
  1. Power System Planning – Economic Load Dispatch, Unit Commitment
  2. Load Forecasting
  3. System Monitoring and Control
  4. Power System Security
  5. Integration of Renewable Sources
  6. Distributed Generation and MicroGrid
  7. Power Quality
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