Identify good, moderate, and bad modules based on the last 7 cycle performance.
Identify and locate battery modules that are performing poorly or not functioning correctly.
Compute critical cycle stats like energy throughput, cumulative cycle counts, operating temperatures, charge and discharge power, and cycle efficiency (round trip and coulombic efficiency).
Identify and track the charge and discharge cycles of a battery over time automatically.
Identify the outliers easily by comparing the power curves for all turbines in a single window.
Measure the impact of wake effects, turbulences, and inconsistent blade surfaces which induce inefficiency in energy conversion.
Detects inefficiency due to inconsistent pitching in the wind turbines.
Detect faulty anemometers or wind vane that generates misleading insights while analyzing the plant’s power curve
Detect the consistent deviation between the wind direction and the corresponding nacelle position.
IEC 61400-12 compliant power curve analytics to determine underperformance in the turbine and provide loss buckets to identify causes of generation loss.
Users can set up customizable alerts to notify them of any issues or changes in performance at their solar power plants.
Analyze the performance of individual strings within a solar power plant, helping to identify issues and optimize performance.
Digital twin technology uses data from drone inspections to create a virtual model of a solar power plant, which can be used to detect performance issues, run simulations, and generate valuable insights.
Inspect solar panels automatically using thermal imaging and advanced computer vision algorithms to identify defects at the solar panel level.
Set thresholds to remove or replace erroneous data in order to improve the accuracy of analytics.
The Tahoe tool can classify losses at a solar power plant into 12+ different categories, helping plant owners to understand the causes of underperformance and prioritize remedial actions.
Identify good, moderate, and bad modules based on the last 7 cycle performance.
Identify and locate battery modules that are performing poorly or not functioning correctly.
Compute critical cycle stats like energy throughput, cumulative cycle counts, operating temperatures, charge and discharge power, and cycle effic. . .
Identify and track the charge and discharge cycles of a battery over time automatically.
Identify the outliers easily by comparing the power curves for all turbines in a single window.
Measure the impact of wake effects, turbulences, and inconsistent blade surfaces which induce inefficiency in energy conversion.
Detects inefficiency due to inconsistent pitching in the wind turbines.
Detect faulty anemometers or wind vane that generates misleading insights while analyzing the plant’s power curve
Detect the consistent deviation between the wind direction and the corresponding nacelle position.
IEC 61400-12 compliant power curve analytics to determine underperformance in the turbine and provide loss buckets to identify causes of generati. . .
Users can set up customizable alerts to notify them of any issues or changes in performance at their solar power plants.
Analyze the performance of individual strings within a solar power plant, helping to identify issues and optimize performance.
Digital twin technology uses data from drone inspections to create a virtual model of a solar power plant, which can be used to detect performanc. . .
Inspect solar panels automatically using thermal imaging and advanced computer vision algorithms to identify defects at the solar panel level.
Set thresholds to remove or replace erroneous data in order to improve the accuracy of analytics.
The Tahoe tool can classify losses at a solar power plant into 12+ different categories, helping plant owners to understand the causes of underpe. . .
