CNN-LSTM vs. LSTM-CNN to predict power flow direction: a case study of the high-voltage subnet of northeast Germany
The massive installation of renewable energy sources together with energy storage in the
power grid can lead to fluctuating energy consumption when there is a bi-directional power …
power grid can lead to fluctuating energy consumption when there is a bi-directional power …
[HTML][HTML] Wind and Photovoltaic Power Generation Forecasting for Virtual Power Plants Based on the Fusion of Improved K-Means Cluster Analysis and Deep Learning
Z Qiu, Y Tian, Y Luo, T Gu, H Liu - Sustainability, 2024 - mdpi.com
Virtual power plants (VPPs) have emerged as an innovative solution for modern power
systems, particularly for integrating renewable energy sources. This study proposes a novel …
systems, particularly for integrating renewable energy sources. This study proposes a novel …
Charging stations and electromobility development: a cross-country comparative analysis
The Industry 4.0 idea influences the development of both charging stations and
electromobility development, due to its emphasis on device communication, cooperation …
electromobility development, due to its emphasis on device communication, cooperation …
Novel Approaches for Regionalising SWAT Parameters Based on Machine Learning Clustering for Estimating Streamflow in Ungauged Basins
Streamflow prediction in ungauged basins (PUB) is necessary for effective water resource
management, flood assessment, and hydraulic engineering design. Spain is one of the …
management, flood assessment, and hydraulic engineering design. Spain is one of the …
Performance Comparison of Bayesian Deep Learning Model and Traditional Bayesian Neural Network in Short-Term PV Interval Prediction
K Wang, H Du, R Jia, H Jia - Sustainability, 2022 - mdpi.com
The intermittence and fluctuation of renewable energy bring significant uncertainty to the
power system, which enormously increases the operational risks of the power system. The …
power system, which enormously increases the operational risks of the power system. The …
Thermal error modeling of motorized spindle considering the effect of milling head heat source
Y Dai, Y Li, S Zhan, Z Li, X Wang, W Li - The International Journal of …, 2023 - Springer
The thermal behavior of the machine tool is an important cause of machining errors, and the
thermal error prediction model can predict the errors in real time and improve the machining …
thermal error prediction model can predict the errors in real time and improve the machining …
[HTML][HTML] User Behavior in Fast Charging of Electric Vehicles: An Analysis of Parameters and Clustering
MB Capeletti, BK Hammerschmitt, LNF Silva… - Energies, 2024 - mdpi.com
The fast charging of electric vehicles (EVs) has stood out prominently as an alternative for
long-distance travel. These charging events typically occur at public fast charging stations …
long-distance travel. These charging events typically occur at public fast charging stations …
Short-term electrical load forecasting based on pattern label vector generation
H Zhu, Q Lin, X Li, H **ao - Energy and Buildings, 2025 - Elsevier
Short-term load forecasting (STLF) is critical for achieving grid-load interactions and energy-
efficient operations. Nevertheless, natural and social uncertainties increase the difficulty of …
efficient operations. Nevertheless, natural and social uncertainties increase the difficulty of …
[HTML][HTML] Prediction maintenance based on vibration analysis and deep learning–A case study of a drying press supported on a hidden Markov model
The main objective of this paper is to describe a methodology that was developed to support
maintenance decision-making methods based on equipment condition. Condition-Based …
maintenance decision-making methods based on equipment condition. Condition-Based …
Multivariate Multi-step Forecasting for Cable Pooling Applications
The proliferation of renewable energy sources (RES) poses a significant challenge with
respect to grid connection due to the existing infrastructure's inability to keep pace with the …
respect to grid connection due to the existing infrastructure's inability to keep pace with the …