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[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 …
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
Modernizing traditional power grids into smart grids represents a significant advancement in
improving efficiency and sustainability within the energy sector. However, integrating …
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
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 …
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
A novel hybrid Harris Hawk-Arithmetic Optimization Algorithm (HHAOA) for optimizing the
Industrial Wireless Mesh Networks (WMNs) and real-time pressure process control was …
Industrial Wireless Mesh Networks (WMNs) and real-time pressure process control was …
NeuroQuMan: quantum neural network-based consumer reaction time demand response predictive management
Demand response, and artificial intelligence integration with it, have a considerable effect in
optimizing energy consumption, grid stability, and promoting sustainable energy practices …
optimizing energy consumption, grid stability, and promoting sustainable energy practices …
Improvement of smart grid stability based on artificial intelligence with fusion methods
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 …
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
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 …
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
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 …
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 …
to efficiently manage electricity generation, distribution, and consumption. Majorly, a smart …
Forecasting of wind turbines generated power with missing input variables
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 …
fluctuation of wind speed, direction, atmospheric pressure, etc. Providing the power industry …