Forecast long-term and day-ahead locational market clearing price with DAYZER

DAYZER helps identify cost-saving opportunities and mitigates risks from price spikes and congestion to support strategic planning in competitive electricity markets.

Trusted by North America’s largest utilities, operators and developers

Predict regional market operation and congestion costs

Location-specific market modeling and scenario analysis

Using locationally accurate and up-to-date data, DAYZER enables users to model and assess the impact of different variables on market outcomes. This includes analyzing historical market clearing prices and “what-if” scenarios, such as changes in fuel prices, outages, or market demand.

Simulate energy usage across long and short-term time horizons

Using modules like long-term load forecasting, fuel price integration, random outage modeling, and optimized maintenance scheduling, DAYZER helps inform strategies for future markets.

Test and analyze various outcomes with custom bidding strategy tools

By offering bidding strategy specific tools (e.g., fixed bid adders, block bid adders, scarcity bid adders), DAYZER allow users to experiment with and evaluate the performance of various bidding approaches under different market conditions.

Key features

Long-Term Planning Modules

Load Forecasting:
• Based on historical load shapes and forecasted peak demand.
Fuel Price Integration:
• Includes NYMEX data for fuel oil and natural gas.
Random Outage Modeling:
• Uses Bernoulli probability models.
Maintenance Scheduling:
• Optimized based on reserve requirements.
Import/Export Analysis:
• Accounts for cross-border energy transactions.

High Quality Data and Modeling

High-Quality Data Inputs:
• Utilizes an up-to-date database on thousands of items (e.g., NAPD for generation and transmission system elements).
Comprehensive Modeling:
• Models transmission outages, contingencies, nomograms, and planned or known transmission upgrades.
• Accurately represents phase angle regulators and loop flows.

Accurate Simulation and Analysis

Accurate Market Simulation:
• Security-constrained unit commitment and dispatch algorithms replicate ISO procedures in the day-ahead market.
• Models specific market characteristics such as second contingency constraints and locational reserve markets.
• Captures marginal transmission losses in markets that implement this feature.
Scenario Analysis:
• Enables users to analyze various scenarios and quantify the impact of key variables and assumptions.
Reliability and Testing:
• Results are tested against actual market prices, with excellent accuracy.

Long-Term Planning Modules

Load Forecasting:
• Based on historical load shapes and forecasted peak demand.
Fuel Price Integration:
• Includes NYMEX data for fuel oil and natural gas.
Random Outage Modeling:
• Uses Bernoulli probability models.
Maintenance Scheduling:
• Optimized based on reserve requirements.
Import/Export Analysis:
• Accounts for cross-border energy transactions.

Regional Customization

Market-Specific Customization:
• Tailored for each regional market to incorporate its unique operational characteristics.
Current regional models include NYISO, NEPOOL, PJM RTO, MISO, ERCOT, and upcoming WECC.

High Quality Data and Modeling

High-Quality Data Inputs:
• Utilizes an up-to-date database on thousands of items (e.g., NAPD for generation and transmission system elements).
Comprehensive Modeling:
• Models transmission outages, contingencies, nomograms, and planned or known transmission upgrades.
• Accurately represents phase angle regulators and loop flows.

Accurate Simulation and Analysis

Accurate Market Simulation:
• Security-constrained unit commitment and dispatch algorithms replicate ISO procedures in the day-ahead market.
• Models specific market characteristics such as second contingency constraints and locational reserve markets.
• Captures marginal transmission losses in markets that implement this feature.
Scenario Analysis:
• Enables users to analyze various scenarios and quantify the impact of key variables and assumptions.
Reliability and Testing:
• Results are tested against actual market prices, with excellent accuracy.

Simplified User Experience

Ease of Use:
• DAYZER is designed to be user-friendly and accessible.
Interface and Outputs:
• Offers a graphical user interface, Access database outputs, and many reports to ensure transparency.

With your DAYZER license

DAYZER Long-Term

A convenient GUI tool for running DAYZER simulations for many days at one time and saving the results to an Access, SQL, or Oracle database.

DZBatch

A command line tool for running DAYZER simulations with various run-options enabled. It is well suited for systematic analyses that can be scheduled and executed automatically.

DZScript

A DAYZER-specific scripting language that allows full observation and customization of DAYZER’s inputs, output, and assumptions.

DAYZER Visualizer

A geospatial tool for viewing the results of DAYZER simulations. Layers include unit and nodal LMPs, constrained paths, the full transmission system, and local geography.

DZReporter

DZreporter is a charting tool for reporting time series assumptions and results from DAYZER scenarios in .pdf format.

DZNODE

Dznode application can be used to manage Dayzer simulation runs on multiple computing nodes.

DAYZER bidding strategies at a glance

Cost-Based Bidding Strategies

Marginal Cost: Bids are based on the marginal cost of generation, which includes fuel costs, variable operating & maintenance costs, and environmental emission costs.
Fixed Bid Adders: Adds a fixed dollar value ($/MWh) to the marginal cost for selected units, often used to simulate specific market bidding approaches like PUSH in the New England Market.
Block Bid Adders: Adjusts the block bids of generation units based on percentages of their marginal cost for a more tailored bidding strategy.

Risk-Reduction and Conservative Bidding

Next Unit in Merit Order: Uses the bid of the next unit in the merit order instead of the marginal cost, reducing risk for generator owners in the day-ahead market.
Next Owner in Merit Order: Uses the bid of the generation unit owned by the next owner in the merit order for all units owned by a single owner, maintaining the merit order and minimizing risks.

Market-Based Bidding

Strategic Bidding: Adjusts the supply curve using historical market clearing prices at liquid trading hubs to bring bids closer to historical prices while maintaining the merit order.
Scarcity Bid Adders: Increases bids for units whose capacity in the merit order or price is above a user-defined threshold, representing scarcity conditions.

Fuel-Based Bidding

Highest Fuel Price: Selects the fuel with the highest cost for determining bids for multi-fuel units, representing a more conservative or higher-margin approach.
Lowest Fuel Price: Selects the fuel with the lowest cost for determining bids for multi-fuel units, optimizing for cost-effectiveness.

Cost-Based Bidding Strategies

Marginal Cost: Bids are based on the marginal cost of generation, which includes fuel costs, variable operating & maintenance costs, and environmental emission costs.
Fixed Bid Adders: Adds a fixed dollar value ($/MWh) to the marginal cost for selected units, often used to simulate specific market bidding approaches like PUSH in the New England Market.
Block Bid Adders: Adjusts the block bids of generation units based on percentages of their marginal cost for a more tailored bidding strategy.

Risk-Reduction and Conservative Bidding

Next Unit in Merit Order: Uses the bid of the next unit in the merit order instead of the marginal cost, reducing risk for generator owners in the day-ahead market.
Next Owner in Merit Order: Uses the bid of the generation unit owned by the next owner in the merit order for all units owned by a single owner, maintaining the merit order and minimizing risks.

Market-Based Bidding

Strategic Bidding: Adjusts the supply curve using historical market clearing prices at liquid trading hubs to bring bids closer to historical prices while maintaining the merit order.
Scarcity Bid Adders: Increases bids for units whose capacity in the merit order or price is above a user-defined threshold, representing scarcity conditions.

Fuel-Based Bidding

Highest Fuel Price: Selects the fuel with the highest cost for determining bids for multi-fuel units, representing a more conservative or higher-margin approach.
Lowest Fuel Price: Selects the fuel with the lowest cost for determining bids for multi-fuel units, optimizing for cost-effectiveness.

Customizable Unit-Level Bidding

Unit Block Bids: Enables users to modify bid block capacities and bids for individual units, offering granular control over bidding strategies.

Discover

Experience how DAYZER can help you identify risks and opportunities to stay competitive in dynamic electricity markets.

Forecast long-term and day-ahead locational market clearing price with DAYZER

Predict regional market operation and congestion costs

Location-specific market modeling and scenario analysis

Simulate energy usage across long and short-term time horizons

Test and analyze various outcomes with custom bidding strategy tools

Key features

Long-Term Planning Modules

Long-Term Planning Modules

Regional Customization

High Quality Data and Modeling

Accurate Simulation and Analysis

Simplified User Experience

With your DAYZER license

DAYZER Long-Term

DZBatch

DZScript

DAYZER Visualizer

DZReporter

DZNODE

DAYZER bidding strategies at a glance

Cost-Based Bidding Strategies

Cost-Based Bidding Strategies

Risk-Reduction and Conservative Bidding

Market-Based Bidding

Fuel-Based Bidding

Customizable Unit-Level Bidding

Discover

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