Energy-related issues such as the realization of a low-carbon society and reduction of electricity costs are receiving global attention. To solve these problems, not only elemental technologies like energy storage and power conversion are needed, but also intelligent operation of systems based on information science and technology is essential, utilizing system-level design methods and machine learning.
Research fields cover a wide range, including modeling techniques to correctly understand the behavior of system components, technologies to predict future behaviors like power generation and electricity prices, optimization techniques to derive the best solutions and make appropriate decisions from these pieces of information, and embedded technologies that are crucial in demonstrating the effectiveness of energy management systems for social implementation( for more details, click here ).
- Equivalent Circuit Modeling of Batteries
- Electricity Price/Demand Forecasting Using Deep Learning
- Operation Optimization of Batteries and Demand Based on Solar Power Generation Forecast
- Non-Invasive Thermal Load Monitoring Using Deep Learning
- Aggregation Techniques Considering Battery Degradation
- Optimization and Demonstration of Air Conditioning that Balances Comfort and Energy Saving
