Renewable Energy Management


For renewable energy business, such as wind and solar energy, weather and climate condition determine the available input for renewable energy. From planning, construction, and operations, weather is a major factor that cannot be ignored and must be calculated to minimize the risk.

Smart Team is able to support renewable energy business by providing an information about renewable energy potential, weather, and climate. Our forecast include:

  •   Potential area for wind and solar energy.
  •   Long-term climate forecast in specific area.
  •   Various weather parameters from temperature, wind, and solar radiation for every hour daily
  •   Multiple decision recommendation based on weather condition.

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Utilizing an advanced numerical prediction model, we produce a high resolution and high accuracy daily forecast in Indonesia. Our forecast has been validated with accuracy of 90% and used by many organizations in Indonesia.

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To improve the quality of our forecast and get a real-time weather observation data, we provide a weather observation station in many locations.

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Our long-term focesting is consist of climate forecasting and disaster vulnerability. Using our own patented climate model, a long-term forecast for the next 5 years with interval of 10-days is produced. Long-term forecast could be implemented in long-term planning, development, and decision making.

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A disaster forecast based on hourly weather forecast is developed with an algorithm build specifically for Indonesia in our labolatory. Utilizing machine learning in disaster data analysis, we always keep improving our disaster forecast accuracy based on recent event. With confidence level of 80%, our disaster forecast has been implemented and help to reduce disaster risk and management in Indonesia.

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To achieve higher efficient farming, we applied information system technology in order to help farmers reduce the risk of failure and increase productivity. We utilize our climate model and build a crop calendar for the next 5 years. The system is already applied in few regions and ready to be implemented in any area within Indonesia.

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To optimize efficient fishery catchment, we provide information about ocean condition, weather, and potential fish location. With help from expert in oceanography and and advance numerical ocean model, we combine the dynamic ocean condition from the forecast with fish potential variability to produce a fish potential map in Indonesia.

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Smart Team translates weather forecast, warnings, and information into a decision support system to improve business performance, produce a low cost and reduced risk decision. Smart Team offers a comprehensive forecast with high accuracy, detailed information, and available decisions for various weather conditions.

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