AI powered energy management and tradings.jpg

AI Powered Energy Forecast, Trading & Management

Efficient Energy, Effective Solutions

Optimize Trading With A.I. Technologies

Electricity markets are characterized by significant volatility, primarily because electricity is produced and consumed in real-time, and it cannot be stored at the wholesale level. Numerous complex factors influence electricity price, e.g. local governmental regulations, economic activities, fuel prices, production costs, weather conditions, and renewable production, etc..

Our cutting-edge artificial intelligence solutions help clients to navigate the challenges of the highly volatile electricity market, enabling them to make informed decisions in managing the energy functions of their enterprises.

AI powered trading. Broad information sources. Rational decisions.

Real-time market data allows the AI model to adapt to ongoing changes, enhancing the precision of forecasts, especially in volatile industries like energy.

Enhanced Predictive Accuracy

Client-specific energy profiles enable the AI to generate customized recommendations, optimizing efficiency and meeting individual client needs.

Tailored Client Solutions

Third-party data provides external context (e.g., weather or regulatory shifts), allowing for more informed and strategic recommendations that extend beyond internal data.

Comprehensive Contextual Analysis

Proven Trading Performance

In the Chinese electricity trading market, our tailor-made AI models outperform human traders in 90% of trading spots, resulting in an overall profit increase of 92.71%.

Building on this success, the models improve forecast accuracy by continuously analyzing real-time and historical data, swiftly predicting market trends and shifts. This enables precise decision-making and dynamic strategy adjustments, ensuring optimal trades for maximum profitability and minimized risk.

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Prepare Your Data

To train the AI, at least one month of historical data on your electricity consumption or renewable energy production is required. Please refer to the data sample provided below.

sample.xlsx

Submit Request

Submit your computation through the form below. For renewable station forecast, ensure that the station's coordinates (longitude and latitude) is included to allow for the integration of real-time local weather data into the computation.

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Retrieve Forecasting Results

A comprehensive forecast report, featuring 1-hour interval precision (15-minute intervals for renewable stations), will be sent to the email address you provided. Computation on the cloud may take up to 6 hours (depending on the workload on the cloud at the time).

Trail form