Kiran K R
Designation: Chief Digital Officer (Adani Renewables & Adani New Industries)
Kiran K R is one of the young leaders shaping India’s energy ecosystem and a prominent voice in digital transformation for large-scale energy infrastructure. He works where enterprise IT, operational technology and renewable energy meet. He leads the digital reinvention of renewable energy operations spanning more than 6 GW of annual construction and over 20+ GW of assets under management. This includes Khavda, the world’s largest renewable energy plant.
He takes transformation from boardroom digital agendas to execution on the ground. He builds end-to-end digital value chains that streamline EPC workflows, optimise O&M delivery and turn infrastructure into self-aware, high-performance assets.
A strong advocate of AI-first operations, he conceived and operationalised GreenEnergy.ai, an enterprise AI platform that uses intelligent agents and digital twins to optimise capex rollout. His programmes apply machine learning, cloud-native platforms and IoT to SCADA, weather modelling, real-time data lakes and predictive maintenance. He also built a hybrid forecasting system with a team of 15 weather scientists, which improves accuracy across more than 10 GW of assets. He champions generative AI, autonomous agents and edge intelligence as the foundation of future-ready, self-optimising energy systems.
He governs enterprise IT, cybersecurity, analytics and mobility blueprints. He has strengthened OT/IT cyber environments and set up mobile-data connectivity across remote project sites. His expertise covers IT/OT strategy, EPC and O&M digitalisation, and change management across diverse teams and geographies.
- Masters in Atmospheric Science – CUSAT
- Executive MBA – ISB Hyderabad
- 20 Years
- Post Graduation – Atmospheric Science & Renewable Energy
- Effect of Diurnal Wind Direction Variation on Turbine Health and Performance: An Indian Case Study EWEA Wind Europe Conference and Summit Sep 2018
- Expelling the Myth of Site Specific NT EWEA Wind Europe Conference and Summit Sep 2018
- Is REWS the New Way of Reducing Uncertainty in Energy Estimation EWEA Wind Europe Conference and Summit Sep 2018
- Art of Seeing the Unseen: Wind Turbine Performance Analysis Using Unconventional Matrices Wind Europe Conference and Exhibition Nov 2017
- Dual Battery Storage: An Innovative Way to Improve Forecasting Accuracy Wind Europe Conference and Exhibition Nov 2017
- Impact of TI and Shear in Site Specific Turbine Design Wind Europe Conference and Exhibition Nov 2017
- Predicting Turbine Health Using ML Technique: Case Study on HSS Bearing Temperature and Derating of Power Wind Europe Conference and Exhibition Nov 2017
- Are Those Modern ‘Giant Wind Turbines’ Redefining the Wind Sector Dynamics? EQ International Jan 2016
- Big Data, Artificial Intelligence and Cloud Computing: A Smarter Way to Manage Your Fleet Wind Europe Break Through Abstract 2016
- Forecasting – Hybrid Model Results WINDSIM User Meet 2016
- Performance Index: A Quick and Efficient Way to Identify the Odd Ones EWEA Analysis of Operating Wind Farms Technology Workshop 2016
- Pre–Post: How Much They Are Apart? EWEA Analysis of Operating Wind Farms Technology Workshop 2016
- RNRG #40C vs Class 1: Comparison of Operational Characteristics Wind Europe Break Through Abstract 2016
- Wind Power Forecasting Based on WRF and ANN Enhanced with Statistical Capabilities Wind Europe Break Through Abstract 2016
- What Those “P (50 to 99)” Numbers Mean to My Project and the Bank Balance? Indian Wind Power Oct 2015
- Wind Flow Modelling in Business! Do More Sophisticated Models Produce More Accurate Wind Resource Estimates? WINDSIM User Meet 2014
- Young Achiever of the Year 2020 – Renewable Energy Digital