activity
20202022
most citedA Review of Wind Speed and Wind Power Forecasting Techniques

29 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2022

Digital Twin Framework for Time to Failure Forecasting of Wind Turbine Gearbox: A Concept

Mili Wadhwani, Sakshi Deshmukh, Harsh S. Dhiman

Wind turbine is a complex machine with its rotating and non-rotating equipment being sensitive to faults. Due to increased wear and tear, the maintenance aspect of a wind turbine i…

eess.SY2021★ 1 cited

Wind Turbine Blade Surface Damage Detection based on Aerial Imagery and VGG16-RCNN Framework

Juhi Patel, Lagan Sharma, Harsh S. Dhiman

In this manuscript, an image analytics based deep learning framework for wind turbine blade surface damage detection is proposed. Turbine blade(s) which carry approximately one-thi…

eess.SP2020★ 3 cited

Machine Intelligent Techniques for Ramp Event Prediction in Offshore and Onshore Wind Farms

Harsh S. Dhiman, Dipankar Deb

Globally, wind energy has lessened the burden on conventional fossil fuel based power generation. Wind resource assessment for onshore and offshore wind farms aids in accurate fore…

eess.SP2020★ 29 cited

A Review of Wind Speed and Wind Power Forecasting Techniques

Harsh S. Dhiman, Dipankar Deb

Forecasting a particular variable can depend upon temporal or spatial scale. Temporal variations that indicate variations with time, reflect the stochasticity present in the variab…

eess.SY2020

Battery State of Charge Modeling for Solar PV Array using Polynomial Regression

Siddhi Vinayak Pandey, Jeet Patel, Harsh S. Dhiman

In this manuscript, we have investigated the response of the State of Charge (SoC) and the open-circuit voltage across the dynamic battery model under the variable voltage and curr…