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An Insight of Deep Learning Based Demand Forecasting in Smart Grids. [PDF]
Sensors (Basel), 2023 Smart grids are able to forecast customers’ consumption patterns, i.e., their energy demand, and consequently electricity can be transmitted after taking into account the expected demand.
Aguiar-Pérez JM, Pérez-Juárez MÁ.
europepmc +2 more sources
A Comprehensive Review on Smart Grids: Challenges and Opportunities. [PDF]
Sensors (Basel), 2021 Recently, the operation of distribution systems does not depend on the state or utility based on centralized procedures, but rather the decentralization of the decisions of the distribution companies whose objectives are the efficiency of ...
Moreno Escobar JJ +4 more
europepmc +2 more sources
A Methodology for Modeling Interoperability of Smart Sensors in Smart Grids. [PDF]
IEEE Trans Smart Grid, 2022 Smart sensors in smart grids provide real-time data and status of bidirectional flows of energy for monitoring, protection, and control of grid operations to improve reliability and resilience.
Song EY +3 more
europepmc +2 more sources
“Smart Regulation for Smart Grids” [PDF]
, 2010 Florence School of Regulation Climate change and security of supply policies are driving us towards a decarbonization of the electricity system. It is in this context that smart grids are being discussed. Electricity grids, and hence their regulatory frameworks, have a key role to play in facilitating this transformation of the electricity system.
Leonardo Meeus +3 more
openaire +4 more sources
An Overview of Hydrogen’s Application for Energy Purposes in Lithuania
Applied Sciences, 2023 Hydrogen has emerged as a promising climate-neutral energy carrier able to facilitate the processes of the European Union (EU) energy transition. Green hydrogen production through the electrolysis process has gained increasing interest recently for ...
Darius Pranckevičius +3 more
doaj +1 more source
Grid Nodes Selection Strategies for Power Quality Monitoring
Applied Sciences, 2023 In the past few years, technical progress has determined traditional electric power system conversion to Smart Grids, and consequently empowered a worldwide renaissance in the forgotten PQ field.
Vladislav Liubčuk +3 more
doaj +1 more source
Load Forecasting Techniques and Their Applications in Smart Grids
Energies, 2023 The growing success of smart grids (SGs) is driving increased interest in load forecasting (LF) as accurate predictions of energy demand are crucial for ensuring the reliability, stability, and efficiency of SGs. LF techniques aid SGs in making decisions
H. Habbak +4 more
semanticscholar +1 more source
Applied Sciences, 2023 Nowadays, voltage sag continues to remain a critical PQ issue in the industry. Since it is not possible to install a voltage analyzer on every node, optimal monitoring locations must be determined.
Vladislav Liubčuk +3 more
doaj +1 more source
Journal of Cybersecurity and Privacy, 2023 Smart grids have emerged as a transformative technology in the power sector, enabling efficient energy management. However, the increased reliance on digital technologies also exposes smart grids to various cybersecurity threats and attacks. This article
Ayat-allah Bouramdane
semanticscholar +1 more source
Secondary Voltage Control in a Hybrid Microgrid [PDF]
International Journal of Industrial Electronics, Control and Optimization, 2019 Compared to individual DC or AC microgrids, the Hybrid microgrids (HMGs) are more efficient and inexpensive due to eliminating of multiple DC-AC-DC conversions.
YousefReza Jafarian +2 more
doaj +1 more source