[HTML][HTML] AI-based model for Prediction of Power consumption in smart grid-smart way towards smart city using blockchain technology

E Aljarrah - Intelligent Systems with Applications, 2024 - Elsevier
A smart grid (SG) is the financial benefit of a complicated and smart power system that can
keep up with rising demand. It has to do with saving energy and being environmentally …

Leveraging the power of machine learning and data balancing techniques to evaluate stability in smart grids

Z Allal, HN Noura, O Salman, K Chahine - Engineering Applications of …, 2024 - Elsevier
Modernizing traditional power grids into smart grids represents a significant advancement in
improving efficiency and sustainability within the energy sector. However, integrating …

[HTML][HTML] Boosting wind turbine performance with advanced smart power prediction: Employing a hybrid ARMA-LSTM technique

AH Abdel-Aty, KS Nisar, WR Alharbi, S Owyed… - Alexandria Engineering …, 2024 - Elsevier
Wind energy holds significant importance among renewable energy sources, necessitating
precise power forecast systems for the operation of wind turbines. In order to meet the urgent …

A novel hybrid harris hawk-arithmetic optimization algorithm for industrial wireless mesh networks

PAM Devan, R Ibrahim, M Omar, K Bingi, H Abdulrab - Sensors, 2023 - mdpi.com
A novel hybrid Harris Hawk-Arithmetic Optimization Algorithm (HHAOA) for optimizing the
Industrial Wireless Mesh Networks (WMNs) and real-time pressure process control was …

NeuroQuMan: quantum neural network-based consumer reaction time demand response predictive management

A Safari, MA Badamchizadeh - Neural Computing and Applications, 2024 - Springer
Demand response, and artificial intelligence integration with it, have a considerable effect in
optimizing energy consumption, grid stability, and promoting sustainable energy practices …

Improvement of smart grid stability based on artificial intelligence with fusion methods

A Alaerjan, R Jabeur, H Ben Chikha, M Karray… - Symmetry, 2024 - mdpi.com
It is crucial to evaluate and anticipate stability under various conditions, as the ability to
stabilize a smart grid (SG) is one of its key features for assessing the effectiveness of its …

Dynamics of minimal networks of limit cycle oscillators

AE Biju, S Srikanth, K Manoj, SA Pawar, RI Sujith - Nonlinear Dynamics, 2024 - Springer
The framework of mutually coupled oscillators on a network has served as a convenient tool
for investigating the impact of various parameters on the dynamics of real-world systems …

A lightweight sequential convolutional neural network for smart grid stability analysis

H Mewada, LS Sundar, B Patel… - … Journal of Engineering …, 2024 - mail.atlas-tjes.org
A Smart grid stability analysis is essential for ensuring modern power systems' reliable and
secure operation. This approach helps identify potential instabilities and disturbances that …

Performance Evaluation of Machine Learning Algorithms for Stability Prediction in Smart Grids

MLN Vital, S Ejjipurapu, DS Battu… - … on Smart Systems …, 2024 - ieeexplore.ieee.org
A smart grid represents an advanced electrical network that incorporates modern technology
to efficiently manage electricity generation, distribution, and consumption. Majorly, a smart …

Forecasting of wind turbines generated power with missing input variables

M Sunder, R Abishek, M Maiti, K Bingi… - … on Future Trends in …, 2022 - ieeexplore.ieee.org
The power generated by electric wind turbines undergoes rapid changes due to continuous
fluctuation of wind speed, direction, atmospheric pressure, etc. Providing the power industry …