activity
20172020
most citedSolar Power Forecasting Using Support Vector Regression

31 citations · 35 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2020★ 4 cited

Fault Location Using the Natural Frequency of Oscillation of Current Discharge in MTdc Networks

Bhaskar Mitra, Suman Debanth, Badrul Chowdhury

This paper discusses a novel fault location approach using single ended measurement. The natural dissipation of the circuit parameters are considered for fault location. A relation…

cs.LG2018

A Data-Driven Approach for Predicting Vegetation-Related Outages in Power Distribution Systems

Milad Doostan, Reza Sohrabi, Badrul Chowdhury

This paper presents a novel data-driven approach for predicting the number of vegetation-related outages that occur in power distribution systems on a monthly basis. In order to de…

eess.SP2018

Comparative Analysis of Hybrid DC Breaker and Assembly HVDC Breaker

Bhaskar Mitra, Badrul Chowdhury

Voltage Source Converters (VSC) are becoming more common in modern High Voltage DC (HVDC) transmission systems. One of the major challenges in a multi-terminal VSCHVDC is protectio…

cs.LG2017

Random Forest Ensemble of Support Vector Regression Models for Solar Power Forecasting

Mohamed Abuella, Badrul Chowdhury

To mitigate the uncertainty of variable renewable resources, two off-the-shelf machine learning tools are deployed to forecast the solar power output of a solar photovoltaic system…

cs.LG2017★ 31 cited

Solar Power Forecasting Using Support Vector Regression

Mohamed Abuella, Badrul Chowdhury

Generation and load balance is required in the economic scheduling of generating units in the smart grid. Variable energy generations, particularly from wind and solar energy resou…