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The Power of Predictive Analytics: How Scipher.Fx by Utopus Insights is Simplifying Renewable Energy Forecasting

Deepak Prabhu • July 1, 2020

The grid is a constant balancing act of supply and demand, and sudden shifts in either can threaten reliability and safety. Without intervention, supply and power surges will ripple down the wires and potentially damage power equipment. Conversely, if demand exceeds supply, brownouts and blackouts ensue. 


Wind and solar energy depend on the weather to determine their output, which can vary moment to moment. Spread out over a large geographical area with many renewable systems connected, these supply blips are largely smoothed over. But at a localized level, for both the system owner and the distribution grid, variability is a necessary concern. 


Enhanced forecasting capabilities combined with digitalization and data can help integrate variable renewables by enabling operators to more intelligently match energy output to meet demand so less clean energy can be curtailed, and system value can be maximized. Smart controls, inverters and energy storage can also be utilized with enhanced predictive capabilities when the sun is shining, and the wind is blowing to optimize system performance and efficiency. 


Asset management and performance are critical to ensuring that large renewable energy systems connected to the grid are not disruptive to operations and reliability, and instead are part of the solution to grid variability by matching dynamic output to dynamic demand. In competitive marketplaces, power forecasting can also enable more efficient and exact bidding, maximizing revenue potential and shortening return on investment. 


The constantly fluctuating nature of renewables is well suited to digitalization, and by applying data analytics and forecasting, systems can be better managed, and performance optimized across an entire portfolio of renewable assets. 


Scipher.Fx by Utopus is a scalable, secure, and flexible energy analytics platform designed for accurate renewable energy forecasting. The software is a comprehensive wind and solar PV power forecasting tool that helps renewable asset framer owner, operators, and power traders to make better informed decisions. Scipher.Fx helps comply with regulatory requirements, minimize penalties and imbalance costs, and optimize asset O&M activities based on high yield production forecasts. The product’s proprietary machine learning models leverage historical measurement data from solar and wind farms to predict intra-day and next-day available power forecasts. 


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As the global shift towards renewable energy continues, wind and solar power are emerging as crucial sources of electricity generation. However, unlike traditional energy sources like coal and natural gas, the effectiveness of wind and solar power is highly dependent on weather patterns. This makes accurate power forecasting digital solutions such as Scipher.Fx essential for wind and solar power producers. Maximizing Energy Production Wind and solar power producers heavily rely on precise power forecasts to maximize their energy production. By understanding the expected energy output from their renewable energy assets, producers can ensure that they meet the demand and avoid any disruptions in energy supply. Accurate power forecasting also helps in preventing over-generation, which leads to wasted energy and revenue. With Scipher.Fx, producers can optimize their energy generation and improve overall efficiency. Reduce Imbalance Costs Implementing power forecasting software such as Scipher.Fx can lead to significant cost savings for wind and solar power producers. By leveraging accurate forecasts, producers can effectively manage their energy generation, resulting in optimized operations, reduced maintenance costs, and improved labor efficiency. S cipher.Fx enables producers to avoid penalties associated with over-generation or under-generation, thereby preventing financial losses. Grid Integration Integrating wind and solar energy production with the power grid requires precise power forecasting. Accurate forecasts enable producers to plan their energy generation effectively and ensure a timely supply of the required amount of energy to the grid. This aspect is especially crucial in regions with high levels of renewable energy generation, as maintaining grid stability becomes a challenge. Regulatory Compliance Compliance with regulations pertaining to energy generation is a crucial responsibility for wind and solar power producers. Many regulatory bodies require accurate power forecasts from producers, which can be a daunting task without the appropriate software tools. Scipher.Fx provides wind and solar power producers with the means to comply with regulatory requirements effectively. By utilizing the power forecasting capabilities of Scipher.Fx, producers can ensure accurate forecasts, meet regulatory standards, and avoid penalties associated with non-compliance. As wind and solar power take center stage in the renewable energy landscape, power forecasting software like Scipher.Fx plays a vital role in optimizing energy production, achieving cost savings, enabling seamless grid integration, and ensuring regulatory compliance for wind and solar power producers. By harnessing the power of accurate forecasting, producers can unlock the full potential of renewable energy and contribute to a sustainable and greener future.
By Deepak Prabhu August 24, 2023
Sotiris Shiacallis, Operations Manager at Cyprus-based wind farm operator T.P. Aeolian Dynamics, shares about the company's experience using Scipher.Fx and Scipher.Vx+. Shiacallis describes how renewable power forecasting and asset management digital solutions by Utopus Insights have become pivotal in optimizing their wind farm operations, enhancing forecasting accuracy, and driving O&M with reliable insights.
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