Make Better Decisions By Leveraging Artificial Intelligence and Predictive Models In Your Work Process
The world faces dramatic energy problems. The global grid and the rising electrification of daily life will require increasingly advanced energy infrastructure to be sustained. Energy companies have a need to improve their data oversight and predictive capabilities to cut costs, save power, and most importantly prepare for the daunting energy conditions across the horizon.
Every player in the energy generation market needs to make real-time decisions about the most economically efficient ratio of consuming energy, selling energy, and storing energy. Employing forecasting models and a comprehensive network of stakeholders are key, as this will ensure cost and CO2 emission optimization.
Artificial intelligence (AI) will play a leading role in aligning the needs of energy stakeholders while offering significant support in the process. At Freya Systems, we analyze various solutions in the roles they can play to optimize energy consumption, storage and generation, while choosing the most economically viable option.
The Right Data is Key for Predictive Analytics in the Energy Sector
Even though energy companies collect and manage data, digitizing it with advanced tech solutions can be problematic. There are associated risks of data loss, poor customization, system failure, and unauthorized access. Since the cost of error is high in the energy industry, many companies are reluctant to risk trying novel approaches and turning to experts, like Freya Systems, to partner in solutions.
Freya System Solutions
The right mix of descriptive, predictive and prescriptive analytics leads to great competitive advantages. These can include cost reduction, supply chain optimization and productivity gains, or the use of new disruptive approaches like forecasting manufacturing, proactive maintenance, and ‘predict and fix’ models.