[HTML][HTML] Cyberattack patterns in blockchain-based communication networks for distributed renewable energy systems: a study on big datasets
Blockchain-based reliable, resilient, and secure communication for Distributed Energy
Resources (DERs) is essential in Smart Grid (SG). The Solana blockchain, due to its high …
Resources (DERs) is essential in Smart Grid (SG). The Solana blockchain, due to its high …
Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation
The increasing global need for renewable energy sources, driven by environmental
concerns and the limited availability of traditional energy, highlights the significance of solar …
concerns and the limited availability of traditional energy, highlights the significance of solar …
[HTML][HTML] Open Tool for Automated Development of Renewable Energy Communities: Artificial Intelligence and Machine Learning Techniques for Methodological …
The architecture, engineering, construction, and operations (AECO) sector exerts a
considerable influence on energy consumption and CO2 emissions released into the …
considerable influence on energy consumption and CO2 emissions released into the …
Optimizing solar power efficiency in smart grids using hybrid machine learning models for accurate energy generation prediction
The fourth energy revolution is characterized by the incorporation of renewable energy
supplies into intelligent networks. As the world is shifting towards cleaner energy sources …
supplies into intelligent networks. As the world is shifting towards cleaner energy sources …
[HTML][HTML] Multilayer cyberattacks identification and classification using machine learning in internet of blockchain (IoBC)-based energy networks
M Faheem, MA Al-Khasawneh - Data in Brief, 2024 - Elsevier
The world's need for energy is rising due to factors like population growth, economic
expansion, and technological breakthroughs. However, there are major consequences …
expansion, and technological breakthroughs. However, there are major consequences …
[HTML][HTML] Design and development of grid connected renewable energy system for electric vehicle loads in Taif, Kingdom of Saudi Arabia
Globally, the integration of electric vehicles (EVs) in the transportation sector represents a
significant step towards achieving environmental decarbonization. This shift also introduces …
significant step towards achieving environmental decarbonization. This shift also introduces …
Uniform Physics Informed Neural Network Framework for Microgrid and its application in voltage stability analysis
This paper focus on the application of Physics Informed Neural Network (PINN) for extracting
parameters of photovoltaic (PV), wind, and energy storage equipment models. Accurately …
parameters of photovoltaic (PV), wind, and energy storage equipment models. Accurately …
Optimizing solar power generation forecasting in smart grids: A hybrid convolutional neural network-autoencoder long short-term memory approach
Incorporating zero-carbon emission sources of energy into the electric grid is essential to
meet the growing energy needs in public and industrial sectors. Smart grids, with their …
meet the growing energy needs in public and industrial sectors. Smart grids, with their …
Fault detection and classification in overhead transmission lines through comprehensive feature extraction using temporal convolution neural network
NA Tunio, AA Hashmani, S Khokhar… - Engineering …, 2024 - Wiley Online Library
Faults in transmission lines cause instability of power system and result in degrading end
users sophisticated equipment. Therefore, in case of fault and for the quick restoration of …
users sophisticated equipment. Therefore, in case of fault and for the quick restoration of …
[HTML][HTML] Solar energy prediction with synergistic adversarial energy forecasting system (Solar-SAFS): Harnessing advanced hybrid techniques
An effective solar forecasting is an important part of managing and enhancing the
effectiveness of solar power systems. The purpose of this paper is to develop a distinct and …
effectiveness of solar power systems. The purpose of this paper is to develop a distinct and …