Power
Electricity markets are fundamentally driven by time-specific demand–supply balances, where prices are set by the marginal generating unit in each time bloc
This capability focuses on understanding how generation cost structures, availability profiles, and system conditions translate into slot-wise market clearing prices (MCPs) over short- and long-term horizons
The analytical framework brings together multiple layers of power system analysis, including:
Technology-specific generation cost structures across renewable and conventional power sources, including solar photovoltaic, onshore wind, offshore wind, coal-based, and natural gas-based generation
Availability, capacity utilisation, and intermittency characteristics of different generation technologies, including renewable hybrid and round-the-clock (RE-RTC) configurations
Region- and slot-wise demand patterns
Plant-level supply availability
Fuel costs and sourcing (domestic or imported)
Capacity additions, retirements, and evolving generation mixes over time
Historical demand patterns and forward-looking capacity information are used to determine which generating units are likely to clear at the margin under different conditions
The objective is not point forecasting, but understanding price formation mechanisms and sensitivities across time horizons
All illustrative analysis is based on publicly available data sources.
Illustrative explorations
Presented below are a set of core analytical illustrations that capture the most commonly required building blocks for understanding generation cost structures, dispatch behaviour, and market price formation across the power sector. These illustrations are intended to demonstrate the application of the analytical framework under representative assumptions.
Illustrative Solar PV Tariff Assessment (Demo)
Illustrative Onshore Wind Tariff Assessment (Demo)
Illustrative RE-RTC Cost Assessment (Demo)
Illustrative Coal-Based Power Tariff Assessment (Demo)
Illustrative Natural Gas-Based Power Tariff Assessment (Demo)
Illustrative Conventional Hydro Power Characteristics
Our slot-wise Market Clearing Price (MCP) offering combines data-driven demand analytics with bottom-up, plant-level supply modelling to simulate market dispatch and price formation
Demand forecasting captures temporal and regional load behaviour, while technology-wise generation economics, availability profiles, and operational constraints define the effective supply stack
By identifying the marginal generating unit in each time slot, the framework delivers a transparent view of MCP dynamics, key sensitivities, and evolving market structure
The outcome is an explainable, scenario-ready MCP view supporting commercial strategy, portfolio optimisation, and informed decision-making across short-, medium-, and long-term horizons
The framework is designed to remain transparent and auditable, enabling clear linkage between underlying system drivers and observed market outcomes
Independent Strategic Advisory
We undertake structured, client-specific project assessments drawing on the analytical frameworks outlined above.
To initiate a discussion, please submit a brief outline via the Advisory Inquiry Form.