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Maximize the value of generation in daily ISO bids that utilize the intelligence of tomorrow's prices in conjunction with dispatch optimization. While traditional offer strategies rely on intuition and skill of traders, PowerSIMMOps utilizes machine learning models and dynamic optimization to strategically formulate profit enhancing bids. In addition to analytic intelligence for bidding, PowerSIMM™ Ops provides detailed position and profit reports for generation, retail loads, and financial instruments across your entire portfolio.

Manage complex portfolios for the next hour to the balance of the month.

Answer Key Questions For Short-Term Energy Supply

The PowerSIMM™ OPS Software Solution is a complete analytics platform for short-term dispatch optimization and supply management.

PowerSIMM™ OPS provides the analytic and data infrastructure to support decision analysis from the balance of day into the prompt month. As an integrated solution, PowerSIMM™ OPS systematizes the data interfaces to help automate short-term operations, transactions, unit commitment decision to maximise profits for integrated utilities, generators, and retailers.

Ascend Analytics has combined industry-leading model capability with robust client support. This allows our customers to dramatically improve decision analysis and gain competitive advantage in the marketplace.

PowerSIMM™ OPS answers the key questions for short-term energy supply. Daily decisions are benchmarked against actual performance to track realized gains and losses.
Our solution determines unit commitment relative to market prices and load with consideration to transmission constraints or nodal prices. Generation unit commitment logic enhances dispatch optimization by modeling physical attributes of generation with respect to energy and ancillary service requirements and market opportunities. Short-term purchase and sale decisions are enhanced through self learning algorithms that reflect forecast uncertainty.

Features of PowerSIMM™ OPS

Detailed representation of thermal, hydro, renewable and storage assets
Asset optimized schedules and scenario analysis for the balance of the month
Advanced dispatch at hourly and sub-hourly granularity
Determines generation strike prices for incremental movements based on market factors
Determines profit margins for incremental movements based on market factors
Identifies trade opportunities for increased revenues or cost minimization
Provides a defensive shield for post analysis of asset optimization decisions
Provides robust reporting for end-users
Provides automated, auditable and scalable solutions across the Enterprise

PowerSIMM™ OPS Analytic Features

PowerSIMM™ OPS delivers superior optimization analytics and model speed for a complete asset optimization solution for short-term portfolio managers.

PowerSIMM™ OPS users are able to utilize interactive data tools to quickly analyze their generation options, evaluate transactions and respond to changing market conditions.  Users can view data within HTML or MS Excel reports.

PowerSIMM™ OPS acquires data and evaluates in real-time:  Generation levels, asset characteristics, operational constraints, load and market conditions to produce defensible generation schedules, bidding strategies and fuel nominations.

Why Choose Ascend Analytics?

Rapid Deployment

Because Ascend has "out-of-the-box analytics", combined with extensive market and fundamental system data, we can rapidly deploy our software in weeks instead of months.

Our dedicated deployment team will provide a turn-key-solution, minimizing impacts to your staff.

Hosting Solutions

Ascend offers a complete hosted solution providing software as a service (SaaS) with dedicated hardware, expansive data, and full software support.


We provide expert support to guide customers through enhanced decision analysis with the practical insights of having "been there and done that". Our expertise ranges from basic application support to enhancing decision analysis with risk to expert testimony and reports. Our staff can also augment your team as "peaking resources".