Energy and Commodity Price Prediction System
CogniTensor Technology Pvt Ltd · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
CogniTensor's Energy and Commodity Price Prediction is a combination of correlation analytics and prediction dashboards that are specially designed to assist you in detecting future prices of energy and various commodities and suggests when to buy optimally, minimizes risk exposure and optimizes portfolio management.
It enables you to pre plan the buy cycle in accordance with future predictions for the day ahead, real-time market. These objectives range from optimized management of resources for energy portfolio and knowing the best buy time for required commodities. We enable you to achieve these objectives with a combination of advanced data analytics and data-driven forecasting, in order to provide you with actionable insights.
Show the rest of the publisher’s description (11 more lines)
The predictive analytics use bespoke combinations of cutting-edge machine learning and deep learning models, backed by advanced research. These algorithms have been tailored specifically to handle the complex time series data coming from certified sources as well as taking account of external factors as well such as holidays, weather, etc . The entire system is developed on a state of the art platform, backed by open source technologies.
Each component is highly customizable in terms of data and other relevant specifications in order to cater to your needs in today’s dynamic business environment.
Features and Capabilities:
- The solution provides Price Prediction of Energy for Day-ahead-Market, Real-time and Derivative on IEX enabling users to know best time to buy
- Predicts price of various commodities on LME
- Leverages an “ External Events” database capturing relevant external factors that impact price and volume
- Build, monitor, analyze, and optimize power system operation models in real-time
- Deploy Load Forecasting now in advance exactly how much power one needs to buy for each level
- Self-learning predictive models that adapt to your needs, constantly evolving to deliver superior performance
- Easy integration support with databases management systems such as Oracle, Postgres, etc.
- Round the clock monitoring via an intuitive web app and on-the-go tracking through a dedicated mobile app
Preview
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Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
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4 linksLinked repositories
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