Artificial humming bird with data science enabled stability prediction model for smart grids

S Raghavendra, S Neelakandan, M Prakash… - … Informatics and Systems, 2022 - Elsevier
Recent advancements in renewable energy provide a clean, alternative source to fossil
fuels. Smart grids (SGs) work by collecting data about customer requests, comparing them to …

Meticulously intelligent identification system for smart grid network stability to optimize risk management

Q Abu Al-Haija, AA Smadi, MF Allehyani - Energies, 2021 - mdpi.com
The heterogeneous and interoperable nature of the cyber-physical system (CPS) has
enabled the smart grid (SG) to operate near the stability limits with an inconsiderable …

Smart grid stability prediction model using neural networks to handle missing inputs

MB Omar, R Ibrahim, R Mantri, J Chaudhary… - Sensors, 2022 - mdpi.com
A smart grid is a modern electricity system enabling a bidirectional flow of communication
that works on the notion of demand response. The stability prediction of the smart grid …

A comprehensive analysis of smart grid stability prediction along with explainable artificial intelligence

F Ucar - Symmetry, 2023 - mdpi.com
As the backbone of modern society and industry, the need for a more efficient and
sustainable electrical grid is crucial for proper energy management. Governments have …

Enhanced random forest model for robust short-term photovoltaic power forecasting using weather measurements

M Massaoudi, I Chihi, L Sidhom, M Trabelsi, SS Refaat… - Energies, 2021 - mdpi.com
Short-term Photovoltaic (PV) Power Forecasting (STPF) is considered a topic of utmost
importance in smart grids. The deployment of STPF techniques provides fast dispatching in …

[HTML][HTML] Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model

L Cui, J Liao - Frontiers in Energy Research, 2023 - frontiersin.org
This paper investigates smart grid energy supply forecasting and economic operation
management, with a focus on building an efficient energy supply prediction model. Four …

[PDF][PDF] Technologies Behind the Smart Grid and Internet of Things: A System Survey.

K Sharma, A Malik, I Batra… - … Materials & Continua, 2023 - cdn.techscience.cn
Electric smart grids enable a bidirectional flow of electricity and information among power
system assets. For proper monitoring and controlling of power quality, reliability, scalability …

Enhancement of SmartGrid Stability by Optimal Energy Management System (EMS) through Deep Learning

A Shufian, S Kabir, MS Mahmood… - 2023 10th IEEE …, 2023 - ieeexplore.ieee.org
Electrical power networks depend on power system stability to provide dependable and
continuous operation. It speaks to a power system's capacity to continue operating in a …

[HTML][HTML] Enhancing energy efficiency with smart grid technology: a fusion of TCN, BiGRU, and attention mechanism

R Wang - Frontiers in Energy Research, 2023 - frontiersin.org
Introduction: Smart Grid (SG) as an intelligent system has become a key element in the
efficient operation of the electrical grid. With the continuous increase in global energy …

GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction

E Efatinasab, A Brighente, M Rampazzo… - … on Research in …, 2024 - Springer
The smart grid represents a pivotal innovation in modernizing the electricity sector, offering
an intelligent, digitalized energy network capable of optimizing energy delivery from source …