EDITORIAL
Published on 06 Jan 2025
Editorial: Data-driven approaches for efficient smart grid systems
doi 10.3389/fenrg.2024.1536459
- 243 views
- Frontiers in Energy Research
- Smart Grids
- Research Topics
- Data-Driven Approaches for Efficient Smart Grid Systems
Data-Driven Approaches for Efficient Smart Grid Systems
3,204
Total downloads
13k
Total views and downloads
Submit your idea
You will be redirected to our submission process.
Articles
ORIGINAL RESEARCH
Published on 27 Nov 2024
Photovoltaic output prediction based on VMD disturbance feature extraction and WaveNet
doi 10.3389/fenrg.2024.1422728
- 225 views
ORIGINAL RESEARCH
Published on 04 Nov 2024
A multi-task learning based line parameter identification method for medium-voltage distribution network
doi 10.3389/fenrg.2024.1485369
- 335 views
ORIGINAL RESEARCH
Published on 16 Oct 2024
A study of short-term wind power segmentation forecasting method considering weather on ramp segments
doi 10.3389/fenrg.2024.1474969
- 318 views
METHODS
Published on 11 Oct 2024
Bad data identification method considering the on-load tap changer model
doi 10.3389/fenrg.2024.1478834
- 218 views
ORIGINAL RESEARCH
Accepted on 05 Sep 2024
Optimal scheduling of the active distribution network with microgrids considering multi-timescale source-load forecasting
doi 10.3389/fenrg.2024.1419898
ORIGINAL RESEARCH
Published on 22 Jul 2024
Short-term wind power prediction and uncertainty analysis based on VDM-TCN and EM-GMM
doi 10.3389/fenrg.2024.1404165
- 461 views
ORIGINAL RESEARCH
Published on 14 Jun 2024
A physical virtual multi-graph convolutional coordinated prediction method for spatio-temporal electricity loads integrating multi-dimensional information
doi 10.3389/fenrg.2024.1409647
- 399 views
ORIGINAL RESEARCH
Published on 13 Jun 2024
Intelligent substation virtual circuit verification method combining knowledge graph and deep learning
doi 10.3389/fenrg.2024.1395621
- 439 views
ORIGINAL RESEARCH
Published on 12 Jun 2024
Evaluation of electrical load demand forecasting using various machine learning algorithms
doi 10.3389/fenrg.2024.1408119
- 1,669 views
ORIGINAL RESEARCH
Published on 10 Jun 2024
Ultra-short-term prediction of microgrid source load power considering weather characteristics and multivariate correlation
doi 10.3389/fenrg.2024.1409957
- 431 views
- 1 citation
ORIGINAL RESEARCH
Published on 04 Apr 2024
Optimal placement of distributed generation in power distribution system and evaluating the losses and voltage using machine learning algorithms
doi 10.3389/fenrg.2024.1378242
- 1,479 views
- 1 citation
Published in
Frontiers in Energy Research
- Smart Grids
Impact
- 13kTopic views
- 8,586Article views
- 3,204Article downloads