activity
20192024
most citedKPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024

Clustering Interval Load with Weather to Create Scenarios of Behind-the-Meter Solar Penetration

Allison M. Campbell, Soumya Kundu, Andrew P. Reiman +3

Forecasting load at the feeder level has become increasingly challenging with the penetration of behind-the-meter solar, as this self-generation (also called total generation) is o…

eess.SY2022

On Distribution Grid Optimal Power Flow Development and Integration

Sarmad Hanif, Rabayet Sadnan, Tylor E. Slay +8

Due to changes in electric distribution grid operation, new operation regimes have been recommended. Distribution grid optimal power flow (DOPF) has received tremendous attention i…

eess.SP2022★ 2 cited

KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios

Deepthi Sen, Indrasis Chakraborty, Soumya Kundu +3

With the expected rise in behind-the-meter solar penetration within the distribution networks, there is a need to develop time-series forecasting methods that can reliably predict…

eess.SP2021

Harmonic Modeling, Data Generation, and Analysis of Power Electronics-Interfaced Residential Loads

Ankit Singhal, Dexin Wang, Andrew P. Reiman +3

Integration of electronics-based residential appliances and distributed energy resources in homes is expected to rise with grid decarbonization. These devices may introduce signifi…

eess.SY2019

Distribution System State Estimation in the Presence of High Solar Penetration

Thiagarajan Ramachandran, Andrew Reiman, Sai Pushpak Nandanoori +2

Low-to-medium voltage distribution networks are experiencing rising levels of distributed energy resources, including renewable generation, along with improved sensing, communicati…