Control and estimation techniques applied to smart microgrids: A review

NT Mbungu, AA Ismail, M AlShabi, RC Bansal… - … and Sustainable Energy …, 2023 - Elsevier
The performance of microgrid operation requires hierarchical control and estimation
schemes that coordinate and monitor the system dynamics within the expected manipulated …

Feature selection and feature learning in machine learning applications for gas turbines: A review

J Xie, M Sage, YF Zhao - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The progress of machine learning (ML) in the past years has opened up new opportunities
to the field of gas turbine (GT) modelling. However, successful implementation of ML …

Ai-generated content (aigc): A survey

J Wu, W Gan, Z Chen, S Wan, H Lin - arXiv preprint arXiv:2304.06632, 2023 - arxiv.org
To address the challenges of digital intelligence in the digital economy, artificial intelligence-
generated content (AIGC) has emerged. AIGC uses artificial intelligence to assist or replace …

Leveraging artificial intelligence in business: Implications, applications and methods

A Sestino, A De Mauro - Technology Analysis & Strategic …, 2022 - Taylor & Francis
ABSTRACT The concept of Artificial Intelligence (AI) as a business-disruptive technology
has developed in academic and professional literature in a chaotic and unstructured …

A comprehensive review of Artificial Intelligence (AI) companies in the power sector

V Franki, D Majnarić, A Višković - Energies, 2023 - mdpi.com
There is an ongoing, revolutionary transformation occurring across the globe. This
transformation is altering established processes, disrupting traditional business models and …

A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning

PK Das, HS Behera, BK Panigrahi - Swarm and Evolutionary Computation, 2016 - Elsevier
This paper proposed a new methodology to determine the optimal trajectory of the path for
multi-robot in a clutter environment using hybridization of improved particle swarm …

Artificial intelligence techniques for photovoltaic applications: A review

A Mellit, SA Kalogirou - Progress in energy and combustion science, 2008 - Elsevier
Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …

Artificial intelligence as an emerging technology in the current care of neurological disorders

UK Patel, A Anwar, S Saleem, P Malik, B Rasul… - Journal of …, 2021 - Springer
Background Artificial intelligence (AI) has influenced all aspects of human life and neurology
is no exception to this growing trend. The aim of this paper is to guide medical practitioners …

Applications of artificial intelligence in climate-resilient smart-crop breeding

MHU Khan, S Wang, J Wang, S Ahmar… - International Journal of …, 2022 - mdpi.com
Recently, Artificial intelligence (AI) has emerged as a revolutionary field, providing a great
opportunity in shaping modern crop breeding, and is extensively used indoors for plant …

Multi-robot path planning using improved particle swarm optimization algorithm through novel evolutionary operators

PK Das, PK Jena - Applied Soft Computing, 2020 - Elsevier
The highlight of this paper is to propose an innovative approach to compute an optimal
collision free trajectory path for each robot in a known and complex environment. The …