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SmartBidderTM is the leading energy bid optimization and scheduling platform for standalone, co-located, or hybrid renewable energy and storage projects.
SmartBidder provides custom bid optimization in day-ahead and real-time power markets through a suite of probabilistic and AI-assisted models, incorporating forecasted nodal price dynamics, asset-specific constraints, and risk-based optimization.
From fully managed to self-service, SmartBidder customers have unparalleled control and flexibility to use built-in strategies based on profit and risk tolerance or integrate their own models into the platform.
Consistently delivers 50%+ more revenues than BESS projects in ERCOT and CAISO, delivers 90-95% of Perfect Foresight and 20%+ of Day Ahead TB4
Customize to your organization’s needs: SmartBidder’s platform is an end-to-end managed solution, from forecasting to optimization to operations & automation. If preferred, customers can integrate their own analytics and price forecasts and have SmartBidder optimize around them, intervening at anytime
20%+ of new storage systems brought online in 2024 use SmartBidder, including more than 25 customers across four ISOs in the U.S.
Managing 4.3GW of storage across multiple ISOs and a diverse customer mix including IPPs, IOUs, CCAs, tolling counterparties, and insurance providers
Formulate, evaluate, and deploy multiple bidding strategies with personalized guidance from SmartBidder’s analyst team
Weekly newsletter from Ascend’s analyst team highlighting near-term strategies for ERCOT and CAISO
Driven by a suite of probabilistic and AI-assisted models that generate better bidding decisions, generating 25 - 289 automated and optimized bids per day for Day-Ahead and real-time markets
Re-Optimization for Increased Returns: Supports dynamic re-optimization of bids based on continuously updating SOC and RT price forecasts to capture short duration price spikes
Leverage SmartBidder's optimization to manage a portfolio of assets, with reporting and automation to support a growing portfolio
Full scheduling services provided in partnership with Tenaska Power Services
Driven by a suite of probabilistic and AI-assisted models, and tuned to your risk tolerances, SmartBidder generates better risk-adjusted returns.
Today’s SmartBidder optimization strategies, when backcasted against actual market conditions in CAISO and ERCOT, achieve 50%+ improvement over market average performance. Top-performing strategies generate 90 – 95% of perfect foresight and 10% - 20% more revenue than TBX in CAISO.
Performance benchmarked against published aggregate returns for CAISO and ERCOT.
SmartBidder's adaptive and risk-adjusted recommendations, combined with in-depth data and performance reporting, enables users to define and track multiple strategies based on risk and strategic objectives. Develop asset-specific risk policies, market participation objectives, and physical warranty constraints, then programmatically set guardrails for strategy formulation and bid overrides.
Compare cumulative returns of benchmarks to more complex customized bidding strategies with varying levels of DA and RT Energy exposure. Dashboards include revenue distributions, gains and costs waterfall, and relative Sharpe Ratio charts.
SmartBidder’s probabilistic modeling drives competitive advantage by reinforcing or redirecting a future market bid position, creating a more comprehensive forecast. Our model also allows for rolling forecast updates, including sub-hourly forecasting, enabling an asset to capture additional incremental revenue throughout any given day.
Advanced Ancillary Market Forecasting: Using advanced day-ahead ancillary price and throughput forecasts, together with dynamic bidding agents, operators can be confident their day-ahead bids will capture the highest value products in each hour.
SmartBidder generates DA and RT energy price predictions in the DA window, and additional RT energy predictions in RT to inform DA and RT positions and physical dispatch of the BESS in RT.
Ascend Analytics and Tenaska Power Services have teamed to offer seamless scheduling and bid optimization services for standalone storage and renewable hybrid projects. Customers can now leverage SmartBidder’s best-in-class analytics and trading algorithms together with the direct oversight of Tenaska’s 24/7 real-time desk.
Tenaska Power Services has a proven track record managing over 100 GW of generation, storage, and retail loads across all ISOs and RTOs in the US., enabled by its PowerToolsTM platform.
Work with a single cross-functional team for:
SmartBidder’s dashboards provide real-time insights into optimization decisions and market conditions, providing deep insights at a glance.
Automation of operations, such as harvesting and responding to outages and updating COP, provide peace of mind and a head start to react to changing market conditions.
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From top to bottom: Evaluate upcoming RT bids and offers relative to price forecasts to manage SOC relative to DA commitments and available capacity, tracking instantaneous SOC movement, energy dispatch, and intra-hour RT bid updates in each five-minute market interval. As the day progresses, follow revenue totals and mix to evaluate resulting performance.
Clockwise from upper left: Evaluate upcoming RT bids and offers relative to price forecasts to manage SOC relative to DA commitments and available capacity, tracking instantaneous SOC movement, energy dispatch, and intra-hour RT bid updates in each five-minute market interval. As the day progresses, follow revenue totals and mix to evaluate resulting performance.
Storage Bid Optimization: Maximizing Value & Emissions Reductions
Supporting Ingka Investments Energy Goals in ERCOT using SmartBidder Bid Optimization
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Understanding the ERCOT Contingency Reserve Service (ECRS): From Pricing Dynamics to Storage Dispatch Behavior
Risky Business: Energy Price Volatility Concentration and its Implications for Revenue Risk for Battery Storage Systems in Different Power Markets
SmartBidder Top Bid Optimization Strategies Outperform ERCOT Average by 46%
Riding the Energy Wave: BESS Optimization Amid Increasing Ancillary Saturation | Ascend Webinar
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