Ultra-short term power load forecasting based on CEEMDAN-SE and LSTM neural network
K Li, W Huang, G Hu, J Li - Energy and Buildings, 2023 - Elsevier
Ultra-short-term power load forecasting refers to the use of load and weather information
from the prior few hours to forecast the load for the next hour, which is very important for …
from the prior few hours to forecast the load for the next hour, which is very important for …
Advanced Optimisation and Forecasting Methods in Power Engineering—Introduction to the Special Issue
P Pijarski, P Kacejko, P Miller - Energies, 2023 - mdpi.com
Modern power engineering is struggling with various problems that have not been observed
before or have occurred very rarely. The main cause of these problems results from the …
before or have occurred very rarely. The main cause of these problems results from the …
Reinforcement Learning for Efficient Power Systems Planning: A Review of Operational and Expansion Strategies
The efficient planning of electric power systems is essential to meet both the current and
future energy demands. In this context, reinforcement learning (RL) has emerged as a …
future energy demands. In this context, reinforcement learning (RL) has emerged as a …
Coherency-based supervised learning approach for determining optimal post-disturbance system separation strategies
Controlled islanding is the last remedial action to prevent cascading outages or blackouts in
power systems. Conventional methods presented for controlled islanding strategy …
power systems. Conventional methods presented for controlled islanding strategy …
Reviews, Challenges, and Insights on Computational Methods for Network Reconfigurations in Smart Electricity Distribution Networks
AA El-Fergany - Archives of Computational Methods in Engineering, 2024 - Springer
Power losses and voltage profiles in electricity distribution networks are a problem,
particularly in developing nations. Many techniques have reportedly been used in the …
particularly in developing nations. Many techniques have reportedly been used in the …
Predicting power system voltage health index with PMUs and graph convolutional networks
This paper develops a power system voltage health index prediction model using the graph
convolutional network (GCN). Different power system operating conditions with varying …
convolutional network (GCN). Different power system operating conditions with varying …
Application of Enterprise Architecture and Artificial Neural Networks to Optimize the Production Process
Production optimization is a complex process because it must take into account various
resources of the company and its environment. In this process, it is necessary to consider the …
resources of the company and its environment. In this process, it is necessary to consider the …
Detect, classify, and locate faults in DC microgrids based on support vector machines and bagged trees in the machine learning approach.
MH Ibrahim, EA Badran, MH Abdel-Rahman - IEEE Access, 2024 - ieeexplore.ieee.org
The DC microgrids possess numerous pros, including enhanced reliability, increased
efficiency, and a less complicated control system. Further, they provide a simplified system …
efficiency, and a less complicated control system. Further, they provide a simplified system …
Convolutional Long Short-Term Memory (ConvLSTM)-Based Prediction of Voltage Stability in a Microgrid
The maintenance of an uninterrupted electricity supply to meet demand is of paramount
importance for maintaining the stable operation of an electrical power system. Machine …
importance for maintaining the stable operation of an electrical power system. Machine …
[HTML][HTML] A Predictive Model Using Long Short-Time Memory (LSTM) Technique for Power System Voltage Stability
MJ Abbass, R Lis, W Rebizant - Applied Sciences, 2024 - mdpi.com
The stability of the operation of the power system is essential to ensure a continuous supply
of electricity to meet the load of the system. In the operational process, voltage stability (VS) …
of electricity to meet the load of the system. In the operational process, voltage stability (VS) …