In the rapidly developing renewable energy sector, accurate power generation forecasting and supply-demand management are paramount. On March 26th, Ant Group's financial technology arm, Ant Fortune, released a brand-new energy and power time-series large model – EnergyTS. This model aims to help businesses optimize their operational strategies and improve efficiency through high-precision data analysis.
EnergyTS demonstrates particularly outstanding performance in photovoltaic scenarios, surpassing well-known industry models such as Google's TimesFM-V2.0 and Amazon's Chronos-Large in terms of power generation prediction accuracy. Evaluation data shows EnergyTS's impressive performance on industry benchmark datasets, establishing it as a significant tool in the renewable energy field.
The model boasts wide applicability, effectively serving photovoltaic power generation, wind power generation, energy storage systems, microgrids, power trading, and virtual power plants. Furthermore, its ease of use is a significant advantage; businesses can utilize EnergyTS directly "out-of-the-box" without requiring additional training, significantly reducing the learning curve.
With the global increase in demand for renewable energy, technological innovation in the energy and power sector is becoming increasingly crucial. EnergyTS not only helps businesses predict future power generation but also effectively analyzes supply and demand, providing more scientific data support for market competition. This means businesses can better grasp market trends, adjust their operational directions, and ultimately maximize economic benefits when formulating strategies.
Ant Fortune's EnergyTS model presents new opportunities and challenges for the renewable energy industry, leveraging advanced data processing capabilities to help businesses thrive in a fiercely competitive market.
