首页|Study Results from RWTH Aachen University Update Understanding of Machine Learni ng (A Black-box Adversarial Attack On Demand Side Management)
Study Results from RWTH Aachen University Update Understanding of Machine Learni ng (A Black-box Adversarial Attack On Demand Side Management)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Aachen, Germany, by Ne wsRx correspondents, research stated, “Demand side management (DSM) contributes to the industry’s transition to renewables by shifting electricity consumption i n time while maintaining feasible operations. Machine learning is promising for DSM with reasonable computation times and electricity price forecasting (EPF), w hich is paramount to obtaining the necessary data.” Financial supporters for this research include Federal Ministry of Education & Research (BMBF), Helmholtz Association of German Research Centers as part of the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE).
AachenGermanyEuropeCyborgsEmergi ng TechnologiesMachine LearningRWTH Aachen University