Que: With India’s power demand surging, how crucial is the adoption of advanced energy analytics for utilities and industries to achieve grid reliability?

Ans: India’s power system is entering a new phase of volatility driven by rapid load growth, urbanisation, industrial electrification and the accelerating adoption of distributed energy resources (DERs) such as rooftop solar, EVs and behind-the-meter storage. These shifts are fundamentally altering load shapes and stressing distribution assets in ways that traditional planning and monitoring tools cannot keep up with.

To maintain grid reliability under these conditions, Indian DISCOMs and utilities need more than physical infrastructure expansion, they need data-driven situational awareness. Advanced energy analytics, powered by smart-meter data and AI, provides granular visibility into consumer consumption patterns, DER presence, feeder and DT loading and emerging constraints. This moves utilities from reactive operations to predictive and preventive grid management, allowing them to anticipate overloads, mitigate reliability risks, manage peak demand and accurately forecast system behaviour.

Que: Utilities often remain cautious about sharing critical infrastructure data. How does UtilityAI Pro address these concerns and reshape trust in cloud-based AI deployment?

Ans: UtilityAI Pro™ is Bidgely’s UtilityAI Platform reimagined and specifically designed with a security-first architectural view, ensuring global utilities and Indian DISCOMs can retain full ownership and control of their data.

Bidgely follows a security-first architecture where utilities retain full ownership and control of their data. The UtilityAI Pro, our AI layer can be deployed directly inside the utility’s own cloud environment, so the data never leaves their boundary. Even when utilities opt for our hosted layers, they operate within fully compliant cloud setups with end-to-end encryption, audit trails and strict role-based access.

What gives utilities confidence is our 12+ years of experience working with leading providers in Europe and the United States—regions with the world’s toughest cybersecurity and regulatory standards. Our systems, certifications and processes are aligned with frameworks such as GDPR and NERC/CIP-aligned requirements and we apply the same rigor to deployments in India.

This combination of secure architecture, transparent governance and proven global compliance has helped utilities adopt cloud-based AI with confidence and trust.

Que: With rooftop solar, EVs and storage rising across markets, how does your platform help utilities actively manage DER growth and ensure grid stability?

Ans: With Bidgely’s patented technology around appliances, we not only detect the presence of Solars & EVs without any external input from Utility or the consumer but can also estimate them to create deep profiles for each and every consumer. By giving a true picture of their consumption profile, lifestyle, peak usages, Non solar usages, EV charging behaviors, etc. estimating solar generation, non-solar consumption, EV charging behaviour and household load profiles. The platform builds a bottom-up DER footprint for every consumer giving utilities clear visibility of DERs on a single platform, along with targeted, consumer-specific insights to manage them effectively. These behind-the-meter signatures are then aggregated at the transformer, feeder and substation levels, creating a unified intelligence layer that continuously monitors DER behaviour, quantifies their impact on local circuits and highlights operational risk scenarios. Instead of DERs remaining a blind spot, they become fully integrated into grid planning, forecasting and day-to-day operations.

Que: Can the platform support DER forecasting and manage charging for EVs at a feeder or transformer level?

Ans: Yes. The platform performs DER and EV forecasting at the individual consumer level and aggregates it up to the DT, feeder and substation levels to give utilities a clear view of emerging load patterns. We already support managed EV charging with advanced utilities in the US.

The system can:
● Identify DER hotspots and quantify their impact on local circuits
● Simulate future load and DER penetration scenarios for planning and operations
● Provide inputs for ToU/ToD tariff design and recommend load-reshaping strategies
● Highlight non-wire alternatives (NWAs) where grid reinforcement can be avoided through targeted interventions.

This enables utilities to proactively manage EV charging demand and DER growth while maintaining system stability.

Que: India is digitising its grid rapidly with national-level AMI rollouts and modernisation plans. How is Bidgely positioning UtilityAI Pro for India’s DISCOMs?

Ans: India is entering a decade of deep grid digitalisation and Bidgely is aligning its AI platform to support DISCOMs across all levels of digital readiness. From state utilities in MP and Bihar to global utilities in the US, Europe and the Middle East. Because one size does not fit all, the platform offers multiple AI layers, ranging from ready-to-deploy analytics to GenAI-driven workflows and build-and-partner models that integrate directly into a utility’s own cloud environment.

Bidgely’s is well aligned with the India Energy Stack vision while already delivering operational value across core use cases such as:
● Revenue Protection by detecting leakages and energy theft helping AT&C loss reduction, Improved billing efficiency
● Load research, segmentation and DSM targeting
● Consumer empowerment via appliance-level insights

The platform is fully localised for Indian distribution network constraints, loss behaviours and regulatory policies—making it highly suited for large-scale AMI deployments under RDSS and emerging modernisation programs. Bidgely is working closely with MoP, REC and state DISCOMs to ensure that AMI data translates into actionable intelligence, not just dashboards and directly strengthens operational, planning and financial outcomes.

Que: AT&C losses continue to challenge India’s DISCOMs. How can AI-powered monitoring and granular data intelligence help utilities detect theft, reduce technical losses and improve overall financial performance?

Ans: AI-driven analytics give DISCOMs unprecedented visibility into where, how, why and who is causing losses including bypassing of heavy appliances. By giving a 360 degree view of anomalies and leakage points in the network to the management without relying on field reports or accurate consumer-to-DT tagging. Continuous monitoring of anomalous load behaviour creates a real-time “early warning system” that exposes theft patterns, deters fraud through unpredictability and isolates technical losses with precision. By reducing investigative workload on overstretched field staff and converting AMI data directly into recoverable revenue, reduced operational costs and higher consumer satisfaction. Hence AI not only strengthens the utility’s financial performance but also improves network reliability and consumer satisfaction simultaneously.

Que: In the long term, how do you see AI transforming the global utility sector by 2030?

Ans: By 2030, AI will move utilities from operating on historical data to running fully predictive, autonomous networks.

We anticipate three major shifts:
● Autonomous grid operations: Real-time fault prediction, automated dispatch decisions and self-healing networks.
● Customer-centric utilities: Hyper-personalised energy insights, flexible tariffs and automated demand response.
● Integrated DER ecosystems: AI-orchestrated EVs, rooftop solar, batteries and grid assets functioning as a unified, optimised system.

Ultimately, utilities will evolve from energy suppliers into intelligent energy platforms, with AI acting as the core operating system enabling reliability, sustainability and cost efficiency.