Responsibilities: 

• Solar Radiation Resource assessment

• Deep Feature Synthesis on Solar and Power data from utility

• Develop Quantitative methodology for end to end forecasting projecct

• PV fleet performance analysis

• Solar Power Forecasting at Portfolio Level- Short-term, Mid-Term and Long-Term

• Assessment of Precision in Solar Power Forecasting of PV Portfolio

• Electricity Demand Forecasting using Machine Learning Model for Short-Term & Mid-Term

Key Skills:-

• Logical and Reliable Data Analysis, Descriptive Statistics, and Pivot Tables

• Data Mode Shape Analysis

• Scenario Analysis and Interactive Spreadsheets

• Regression Analysis and Correlation

• Data Driven Methods and Analysis of Variance

• ML & Deep learning based model for Time series forecasting 

Responsibilities: 

• Built End-to-End MLOPS Pipeline for extreme event detection in Utilities Data (Load, Power & Generation).

• Fetching and data pre-processing of Utilities Data with Data cleansing, Outlier detection process.

• Working on priorities of most valuable properties of Utilities data for insights from simulation results.

• Working on Key Driver Analysis for anomaly detection in Energy Data.

• Actionable insights from Load and Energy Data.

• Mentoring team in development of forecasting models for Load Demand and Gas Demans for Mid-term and Long- Term.

• Scrum Master for the Team

• Manage 8 Members Team

• Writing Project proposals

Responsibilities: 

• Working on Econometric and Machine Learning Modelling for Energy, Power Generation and asset management.

• Working on Distributed Energy Resources Planning and predictive analysis of Energy.

• Programming using MATLAB and Python for Neural Network Modelling and machine models using Keras and Tensor flow libraries respectively.

• Developing time series and machine learning based models for energy forecast.

Key Responsibilities:

• Evaluating forecast input data for accuracy and reliability, with the ability to detect trends, seasonality and outliers.

• Working on advance hybrid forecasting models.

• Analyze relationship between Load/ Generation usage and other factors such as weather, and for each premise generate:

  • usage forecast for the near term

  • usage forecast for the long term

  • usage back-cast

• Analyze and model for upcoming load and power generation trends.

• Analyze and model for outlier detection and replacement for dataset.

• Generate short-term and long-term load and generation forecast and explain variance between forecasts.

• Measure on a regular basis the accuracy of forecasting models for load and power generation.

• Maintain design document on forecasting.

• Work with utilities to improve forecast models.

• Work with the development team to automate/improve processes.

Responsibilities:

• Worked in Artificial Intelligence modelling application in Energy storage systems for Electric vehicle.

• Worked on Crash analysis of lithium-ion batteries using finite element based neural search analytical models.

• Experimental coupled predictive modelling-based recycling of waste printed circuit boards for maximum extraction of copper using Hybrid Model (Genetic programming -Artificial neural network).

• Worked in Li-Ion cells classification problem using self-organizing mapping and Neural Network modelling.

• Programming using MATLAB, Python.

• Involve in research paper writing and white paper publishing.

•  Involve in Real-time testing of battery and li-ion cell test under various condition like- Thermal and Mechanical Stress, Environmental tests.

Responsibilities: 

• Worked in research projects related to Solar power generation forecasting.

• Worked on solar power plant performance analysis under Indian climatic conditions and report generation.

• Programming using MATLAB for generation forecasting modelling.

Responsibilities: 

• Worked on the project under Ministry of Power.

• Worked in Energy Research like Solar power generation forecasting under Indian seasonal conditions.

• Worked on Solar power variability analysis and solar power plant performance analysis under different conditions.

• Involved in lab research activities like conduct testing, experiments and trainings.

• Associated with development of Solar Photovoltaic lab and Illumination Lab under CPRI 12th Plan research Scheme

Responsibilities: 

• Taking Renewable Energy Systems Tutorials and Lab

• Taking Solar Energy Systems Tutorials and Lab

• Taking Advance Power Systems Tutorials and Lab