Smart grid communication networks for electric vehicles empowering distributed energy generation: Constraints, challenges, and recommendations
Modern communication networks and digital control techniques are used in a smart grid.
The first step is to classify the features of several communication networks and conduct a …
The first step is to classify the features of several communication networks and conduct a …
An overview of reinforcement learning-based approaches for smart home energy management systems with energy storages
The paper's state-of-the-art review focuses on an in-depth evaluation of smart home energy
management systems which employ reinforcement learning-based methods to integrate …
management systems which employ reinforcement learning-based methods to integrate …
Risks in the European transmission system and a novel restoration strategy for a power system after a major blackout
Many citizens of European countries may soon experience a long and extensive blackout.
The lack of predictability in the output of renewable energy sources, aggravating the …
The lack of predictability in the output of renewable energy sources, aggravating the …
A new restoration strategy in microgrids after a blackout with priority in critical loads
The danger of a total blackout in a wide area or, even worse, in a country is always present.
The restoration methods after a blackout mainly focus on the strategy that the dispatchers in …
The restoration methods after a blackout mainly focus on the strategy that the dispatchers in …
[HTML][HTML] Enhancing electrical load prediction using a bidirectional LSTM neural network
Precise anticipation of electrical demand holds crucial importance for the optimal operation
of power systems and the effective management of energy markets within the domain of …
of power systems and the effective management of energy markets within the domain of …
Utilization of artificial neural networks for precise electrical load prediction
In the energy-planning sector, the precise prediction of electrical load is a critical matter for
the functional operation of power systems and the efficient management of markets …
the functional operation of power systems and the efficient management of markets …
Predictive maintenance for distribution system operators in increasing transformers' reliability
Power transformers' reliability is of the highest importance for distribution networks. A
possible failure of them can interrupt the supply to consumers, which will cause …
possible failure of them can interrupt the supply to consumers, which will cause …
[HTML][HTML] Sensor technologies for transmission and distribution systems: a review of the latest developments
The transmission and distribution systems are essential in facilitating power flow from the
source multiple loads over large distances with high magnitudes of voltages and currents …
source multiple loads over large distances with high magnitudes of voltages and currents …
Technical and economic analysis of solar PV/diesel generator smart hybrid power plant using different battery storage technologies for SRM IST, Delhi-NCR Campus
This paper presents atechnical and economic analysis of the proposed solar PV/diesel
generator smart hybrid power plant for a part of SRM IST, Delhi-NCR campus. The analysis …
generator smart hybrid power plant for a part of SRM IST, Delhi-NCR campus. The analysis …
[HTML][HTML] A flexibility platform for managing outages and ensuring the power system's resilience during extreme weather conditions
It is challenging for the European power system to exactly predict RES output and match
energy production with demand due to changes in wind and sun intensity and the …
energy production with demand due to changes in wind and sun intensity and the …