Our recent paper “A Data-Driven Robust Optimization Approach to Scenario-Based Stochastic Model Predictive Control” published in Journal of Process Control has drawn some media attentions. These include, but are certainly not limited to, the following ones:
- Cornell Chronicle: To conserve energy, AI clears up cloudy forecasts
- World Economic Forum: New machine learning methods can slash energy bills in old homes
- Energy Manager Today: Cornell Using Machine Learning to Aid in Energy Savings
- Engerati: Harnessing weather forecasting for building energy efficiency
- Market Business News: AI conserves energy by making better use of weather forecasts
- Engineering: Hot New Research Uses Machine Learning to Help Buildings Save Energy
- Technology Networks: Data-driven Approach Saves Energy Whatever the Weather
- Tech2: Machine learning allows the old building to use less heat
- TechZiffy: Energy Conservation Made Easy Through Machine Learning
- Asharq Al-awsat: Scientists Develop New AI System to Predict Weather Changes
- Tencent News
Another paper “Robust Model Predictive Control of Irrigation Systems with Active Uncertainty Learning and Data Analytics” published in IEEE Transactions on Control Systems Technology also receives media coverage about smart irrigation and AI. These include Cornell Chronicle, Science Daily, Phys.org, Water Canada, Environmental News Network, among others.