Client

Energy enterprise

Industry

Power and utilities

Primary goal

Cost optimisation and scheduling
efficiency

Technologies

Machine learning, optimisation models, real-time analytics

Power scheduling has become increasingly complex due to the integration of renewable energy, fluctuating demand, and grid constraints. Traditional approaches struggle to optimise cost and efficiency in real time.

KPMG in India implemented an AI-driven Advanced Planning and Scheduling System (APASS) to enable dynamic, real-time power optimisation across generation and consumption points.

The challenge

Energy scheduling required balancing multiple variables, including generation capacity, demand, tariffs, transmission constraints, and renewable availability.

Manual and static scheduling methods led to inefficiencies such as higher costs, suboptimal renewable usage, and penalties from grid imbalances.

The opportunity

KPMG in India developed a real-time optimisation engine driven by machine learning to dynamically schedule power distribution.

The system evaluates multiple inputs – including generation cost, demand forecasts, transmission charges, and grid constraints – to determine the most cost-efficient scheduling plan.

It operates on a continuous feedback loop, recalibrating schedules in response to changing conditions.

KPMG in India’s approach included:

Real-time optimisation

Dynamic scheduling across all locations and assets
Objective-driven ML models

Minimising cost and maximising renewable energy utilisation
Constraint-based modelling

Incorporating operational, grid, and regulatory constraints

Continuous monitoring

Adaptive recalibration based on live system conditions
Decision automation

Instant generation of optimal dispatch schedules

The impact

The solution transformed energy scheduling into a data-driven, automated decision-making process:

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Significant reduction in power procurement costs

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Increased use of renewable energy sources

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Improved scheduling accuracy and responsiveness

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Reduced penalties and inefficiencies

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Enhanced operational visibility and control

How we make the difference

KPMG in India helps energy organisations leverage AI and advanced analytics to optimise operations in real time. By combining machine learning with domain-specific constraints, we deliver scalable solutions that improve efficiency, reduce costs, and drive sustainable outcomes.