P.P. Vergara Barrios

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37 Article
33 Conference contribution
2 Chapter
2 Conference article
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A siamese neural network model for phase identification in distribution networks
Liu, D., Giraldo, J. S., Palensky, P. & Vergara, P. P., 2025, In: International Journal of Electrical Power and Energy Systems. 169, 10 p., 110718.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
10 Downloads (Pure)
DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks
Hou, S., Fu, A., Duque, E. M. S., Palensky, P., Chen, Q. & Vergara, P. P., 2025, In: Journal of Modern Power Systems and Clean Energy. 13, 1, p. 300-311 12 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
11 Downloads (Pure)
EnergyDiff: Universal Time-Series Energy Data Generation Using Diffusion Models
Lin, N., Palensky, P. & Vergara, P. P., 2025, (Accepted/In press) In: IEEE Transactions on Smart Grid. 0b000064941925a1.
Research output: Contribution to journal › Article › Scientific › peer-review
Enhanced AC/DC optimal power flow via nested distributed optimization for AC/VSC-MTDC hybrid power systems
Li, H., Vergara, P. P., Dimitrovski, R., Du, H. & Lekić, A., 2025, In: International Journal of Electrical Power and Energy Systems. 164, 23 p., 110365.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
14 Downloads (Pure)
RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks
Hou, S., Gao, S., Xia, W., Salazar Duque, E. M., Palensky, P. & Vergara, P. P., 2025, In: Energy and AI. 19, 12 p., 100457.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
37 Downloads (Pure)

BATT-AI
Qin, Z., Bruninx, K., Vergara Barrios, P. P. & Bañol Arias, N.
1/07/25 → 30/06/30
Project: Research

P.P. Vergara Barrios

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

A siamese neural network model for phase identification in distribution networks

DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks

EnergyDiff: Universal Time-Series Energy Data Generation Using Diffusion Models

Enhanced AC/DC optimal power flow via nested distributed optimization for AC/VSC-MTDC hybrid power systems

RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks

BATT-AI

P.P. Vergara Barrios

Fingerprint

Collaborations and top research areas from the last five years

Research output

A siamese neural network model for phase identification in distribution networks

DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks

EnergyDiff: Universal Time-Series Energy Data Generation Using Diffusion Models

Enhanced AC/DC optimal power flow via nested distributed optimization for AC/VSC-MTDC hybrid power systems

RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks

Projects

BATT-AI