Algorithmic insight.
Smarter grid decisions.
Aetheon combines regulatory and commercial analysis with forecasting tools to evaluate tariffs and open-access opportunities.
Let's Talk Grid SolutionsTry it yourself
Explore energy sourcing.
Compare an illustrative day.
Compare an example baseline grid tariff (the red line) against an illustrative sourcing mix. Toggle Open Access to source base load from low-cost bilateral contracts. Add Solar PV for cheap generation during peak sunlight hours, and integrate BESS battery storage to store off-peak power and shave expensive evening peaks.
Illustrative Tariff Simulation
Explore a simplified combination of generation and storage. Figures are illustrative and are not a project quotation or savings guarantee.
Average Rate
₹8.17/kWh
Daily Cost
₹19.6K/day
Net Savings
0.0%
DESIGN INTELLIGENCE
The Aetheon Advantage
We combine policy analysis with data-driven modelling to support practical energy-sourcing decisions.
Aetheon ACS
Regulatory Consulting
Policy and tariff analysis for large electricity consumers, including applicable cross-subsidy, additional-surcharge and DSM considerations.
Savings Estimator
Illustrative Arbitrage Modeler
Aetheon EMS
Forecasting & Dispatch
A proposed LSTM and XGBoost modelling approach can produce 96-block price forecasts for day-ahead and real-time markets. Results require validation against current market and site data.
Horizon
96 Blocks
Granularity
15-Min
Market Access
IEX / RTM
State Grid Frequency
Example operating value shown for illustration; real dispatch requires live grid and site telemetry.
DSM Penalty Mitigation
Potential DSM cost reduction depends on baseline deviations, applicable rules, contract structure and operating discipline.
Dispatch Automation
Dispatch automation requires verified telemetry, approved operating rules and integration with each energy contract.
Algorithmic Nodal Dispatch
Predicting the Grid,
Block by Block.
The proposed forecasting workflow uses 15-minute intervals (96 blocks daily). It is designed to evaluate grid congestion, temperature and generation data, and requires validated market data before use.
XGBoost & LSTM Ensembles
Proposed predictive architecture for evaluating day-ahead and real-time market outcomes.
Automated Energy Balancing
Proposed schedule revisions to help evaluate and manage DSM exposure.
Request an Energy Audit
Select your required solutions and load profile to request a preliminary feasibility review and procurement discussion.