Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023‏ - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Applications of smart grid technology in Nepal: status, challenges, and opportunities

TN Bhattarai, S Ghimire, B Mainali, S Gorjian… - … Science and Pollution …, 2023‏ - Springer
Energy transformation and sustainability have become a challenge, especially for
develo** countries, which face broad energy-related issues such as a wide demand …

A comprehensive review on sustainable aspects of big data analytics for the smart grid

VK Ponnusamy, P Kasinathan, R Madurai Elavarasan… - Sustainability, 2021‏ - mdpi.com
The role of energy is cardinal for achieving the Sustainable Development Goals (SDGs)
through the enhancement and modernization of energy generation and management …

Incentive mechanisms for smart grid: State of the art, challenges, open issues, future directions

S Bhattacharya, R Chengoden, G Srivastava… - Big Data and Cognitive …, 2022‏ - mdpi.com
Smart grids (SG) are electricity grids that communicate with each other, provide reliable
information, and enable administrators to operate energy supplies across the country …

Existing developments in adaptive smart grid protection: A review

H Khalid, A Shobole - Electric Power Systems Research, 2021‏ - Elsevier
The future smart power grid where Distributed Generations (DGs) are highly integrated and
self-healing is required is intended to provide reliable and quality power in economic and …

Optimal renewable integrated rural energy planning for sustainable energy development

MM Kamal, I Asharaf, E Fernandez - Sustainable Energy Technologies and …, 2022‏ - Elsevier
The renewable energy sources substitute traditional generation systems that can supply
more reliable, environmentally friendly, and high-quality power. The off-grid electrification …

The impact of smart grids on energy efficiency: a comprehensive review

TM Olatunde, AC Okwandu, DO Akande… - Engineering Science & …, 2024‏ - fepbl.com
Smart grids have emerged as a key technology in the quest for energy efficiency and
sustainability. This review provides a comprehensive analysis of the impact of smart grids on …

Advancing sustainable energy transition: blockchain and peer-to-peer energy trading in India's green revolution

J Gupta, S Jain, S Chakraborty, V Panchenko… - Sustainability, 2023‏ - mdpi.com
Advancing the sustainable energy transition is a major need in nations that are constantly
evolving and develo** in terms of their energy economy. India has been chosen for the …

Demand response for optimal power usage scheduling considering time and power flexibility of load in smart grid

A Alzahrani, G Hafeez, G Rukh, S Murawwat… - IEEE …, 2023‏ - ieeexplore.ieee.org
Demand response (DR) shaves peak energy consumption and drives energy conservation
to ensure reliable operation of power grid. With the emergence of the smart power grid …

Speed control of a wind turbine–driven doubly fed induction generator using sliding mode technique with practical finite‐time stability

M Ali, SM Amrr, M Khalid - Frontiers in Energy Research, 2022‏ - frontiersin.org
This work investigates the application of sliding mode control (SMC) on a doubly fed
induction generator (DFIG). In conventional control schemes like PI controllers, the …