Artificial Intelligence in Electrical Power & Energy:: Special Issue

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 Submissions must be previously unpublished and may not be under consideration elsewhere.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.

Special Issue Flyer (PDF)

Please download to know all details of the
Special Issue

Introduction

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: