Creating Green AI through Edge Computing
With edge computing becoming a critical part of the AI ecosystem, Solgen’s platform integrated seamlessly with real-time data processing units, allowing data centers to run on renewable energy and optimise energy flows based on AI-driven predictions.
Solgen proudly presents: DALTON, the second AI
Solgen is introducing its second AI model for energy management. DALTON is trained to optimise long-term energy storage and energy trading strategies. By predicting changes in the the energy price and optimising storage times, DALTON will play a crucial role in ensuring the energy supply will remain stable at all times.
Solgen expanding into Industrial and Commercial Applications with JOULES 2.0
Solgen has continued to develop and train the company's unique AI model JOULES to handle larger energy flows for industrial and commercial applications. JOULES 2.0 allows the Solgen system to predict energy demand and optimise energy distribution at a much larger scale.
Solgen's Virtual Light Home offered in Scandinavia
Solgen's Virtual Light Home offered in Scandinavia
One house in LA balances 15 in Helsinki
The solar energy produced by a single household in Los Angeles is able to balance all sunlight deficit for 15 houses in Helsinki on average. This solar energy production discrepancy becomes even bigger during the winter months, when Northern Europe suffers from limited daylight hours.
Solgen proudly presents: JOULES, the energetic AI
Solgen presents the companies first AI model: JOULES. The unique AI model is designed to help Solgen customers to trade eBolt credits at the best possible time in order to achieve the best possible rate. This means a household's over production of solar energy can be traded to Solgen eBolt credits at any time.