Electricity Trading & Asset Optimization Solutions
Electricity Trading & Asset Optimization Solutions
- Intraday & day-ahead optimal bids & trading strategies in 5-60 mins resolution
- Execution frequency with new optimal trading strategies every 10 mins, 24/7
- Sourcing portfolio optimization to minimize cost
- Power plant generation & bidding optimization to maximize profit
- Maximize the profit of renewable & storage assets
For traders, asset & portfolio managers, QR Trading Optimizer offers a suite of ready-for-use advanced trading optimization solutions tailored for intraday & day-ahead trading, long-term planning & asset valuation
Explore QR Trading Optimizer Solutions
The solution computes intraday & day-ahead optimal bids & trading strategies in 5-60 mins resolution. Execution frequency with new optimal trading strategies for revised submission is every 10 mins, 24/7.
Cost effective solution. You pay one single annual subscription license fee whether used as a service or implemented on the cloud or on-site.
Next generation trading optimization algorithms that extract the fullest advantage from arbitrage and market opportunities arising from movements in the stack of bids and offers, and volatile electricity spot markets. Sizable increase in P&L and asset valuation.
No-coding optimization platform allowing users to drag, drop and combine, in a user-friendly web-dashboard, the elements needed to configure the relevant optimization algorithm, along with modeling any asset type, all needed input data, detailed cash flow mapping of cost and revenue, and complex operational and financial constraints.
The following chain is executed automatically 24/7 and each step triggers the next: data fetching and insertion from various sources (ISOs, RTOs, meter, SCADA, weather, etc.), training and execution of AI models, and publication of the forecast results via API.
Flexible delivery options. Trading Signals as a Data Service where our platform does everything, and you receive the optimal trading decisions every 5-10 minutes, 24/7. Software as a Service implemented on a private cloud or on-site. The cloud solution requires no software installation, hardware and IT resources, all you need is just a browser.
To reduce project risk you can start with a Proof of Concept (POC) or trial period. The fee is scaled to the implementation efforts needed by the POC. Contact us for more details.
Trading Service where our expert team and platform do everything, and you receive, via API and electronic means, optimal bids & trading signals, every 10 minutes, 24/7.
Software as a Service (SaaS) where we implement QR Optimizer AI platform on a private cloud of your choice, or on-site, and you control the data and the optimization models.
Cost effective pricing. You pay one single yearly subscription license fee for QR AI Trading Optimization, whether used as a service or implemented on the cloud or on-site. The fee comprises the license, maintenance and upgrade releases. Your system is upgraded regularly so that you always have access to the latest release. Your trading optimization models are regularly visited by our optimization team and fine-tuned when needed.
In-house trading optimization models require extensive expert resources. Models are sensitive to myriads of constraints in assets & operations. QR Trading Optimizer was created as a universal optimization platform that could be configured for various operations. Our team of PhD & MSc experts in optimization, applied math and physics, and data science will closely work with you to customize and maintain the optimization model that suits your portfolio of assets.
The solution is ready-for-use on day one. No development or specialized hardware needed. Your generation assets are configured quickly and you go live. QR AI Forecaster is seamlessly integrated to provide the (load, price and offer stack) forecasts needed as optimization inputs. The modern microservice architecture allows instant scaling of your AI Trading Optimization models to match your business requirements as they evolve with time.
QR Trading Optimization methodology
QR Trading Optimizer is a suite of advanced optimization algorithms offering vast configuration capabilities to model any type of power trading, assets, optimization objective and constraints.
Our proprietary optimization methods use genetic computing and pattern search, linear and nonlinear constraints modeling, level-dependent ramp and spot price, proprietary heuristics methods, and bid price selection methods dynamically adjusting the price of the bids across the gene pool to act as a price maker, a price taker or be neutral, across different periods of the day as price forecasts evolve, many parameters control the convergence and accuracy of the model to better manage resources.
Step 1: We start with very accurate AI forecasts of price, load (demand, supply, etc.), and the stack of bids & offers for the market in which we operate. This takes about 2 minutes for intraday or DA markets.
Step 2: The optimizer uses the forecasts from (Step 1) to compute the optimal trades that maximize or minimize the P&L objective function, depending on the problem at hand, along with the expected cleared RTD of the optimal strategy, and its P&L. Optimization is a forward looking path dependent process starting from the very next trading period to the end.
Step 1 & 2 take a few minutes for intraday or DA trading to produce bid or trading signals at 15-minute resolution for a portfolio of 10 assets.
All data is managed (fetched, inserted, validated, stored) by our modern datahub using Apache NIFI and Timescale DB.
All data is distributed via a flexible Spring Boot API microservice. This allows real-time data integration with reporting and your internal systems, e.g., trading optimization.
High-performance computing and microservice architectures achieve unparalleled scalable performance.
Technologies used in QR Trading Optimization Platform: Python Django, SciPy, NumPy, Pandas, Keras, Tensorflow, Java Spring Boot, NGINX, Tomcat, PostgreSQL, Apache NiFi, Angular, Grafana, Dramatiq, Highcharts.