ENERGY TRANSITION IS BECOMING CHAOTIC[cite: 7]

NEEDS AN UPGRADED APPROACH[cite: 8]

The ongoing energy transition is presenting new challenges amidst an evolving supply-demand mix and growing penetration of renewables.[cite: 9] These emerging risks on power sector investments now call for new capabilities.[cite: 10]

To 'bring order to this chaotic transition' it is important to use data-driven decisions backed by modern AI/ML techniques and risk management.[cite: 11]

TARGETING[cite: 12] KEY THEMES[cite: 13] IN THE SECTOR[cite: 14]

As renewable penetration increases in the grid, the need for Route-to-market evaluation becomes critical for utilities, C&I players, and IPPS.[cite: 15]

  • The FID decision with long-term view needs to be integrated with the portfolio optimization in the short-term plan.[cite: 16]
  • The decision making is becoming more complex, with variables and multiple scenarios on both demand and supply side.[cite: 17]

Forecasting of key variables and overall market modelling is becoming a must have capability.[cite: 20]

  • Need for a hybrid of deterministic and stochastic analysis, with specific ability to accurately forecast outlier events.[cite: 22]
  • Requirement for an embedded capability for algorithm-based decision making, for both buyers and sellers of electricity.[cite: 23]

Developers/IPPs and Utilities need to enhance portfolio capabilities, to support decision making across Long-term, medium-term and short-term horizons.[cite: 24]

  • Pricing and managing complex portfolios like FDRE, merchant exposure, VPPA contracts, all with exposure to multiple technologies.[cite: 25]
  • Creating portfolio hedges on a continuous basis with increasing shape, volume and imbalance risks in the portfolio.[cite: 27]

All new investments are now exposed to market and system volatility. No stakeholder in the value chain is immune to these risks.[cite: 30]

  • All portfolios, both existing and under planning, need continuous monitoring for Value-at-risk.[cite: 31]
  • Ensure that all new investment or procurement decisions are based on rigorous data analysis and considering all sensitivities.[cite: 32]
REQUEST[cite: 28] DEMO[cite: 29]

OUR TEAM[cite: 33]

A desired blend of subject matter expertise + AI Technology applications to solve the evolving power sector challenges.[cite: 34]

Expertise Background:
  • Leading power sector IPPs[cite: 36]
  • Renewables & conventional technologies[cite: 37]
  • Global power market advisory firms[cite: 38]
  • Commercial due diligence on new investments in sector[cite: 39]
  • AI/ML enabled technology firms[cite: 40]
  • Data analytics & insights with numerous patents[cite: 41]
Global Presence: India, Singapore, US, Europe[cite: 42]

Experience: 50+[cite: 43] years of experience[cite: 44]

Top educational background:[cite: 48] IIT[cite: 45], ISB[cite: 45], IIM[cite: 46], Johns Hopkins[cite: 47]

CO-FOUNDER AND CEO (REDACTED)[cite: 49]

Former position at (REDACTED)[cite: 49]

CO-FOUNDER AND COO (REDACTED)[cite: 51]

Former position at (REDACTED)[cite: 52]

CO-FOUNDER AND CTO (REDACTED)[cite: 53]

Former position at (REDACTED)[cite: 53]



We are actively looking for motivated professionals interested in smoothening the Energy Transition with AI & Deep Tech.[cite: 54]

Drop us a line if you have similar ambitions.[cite: 55]