Power Consumption

Power consumption research focuses on minimizing energy use across diverse applications, from data centers and machine learning to smart homes and 5G networks. Current studies employ various machine learning models, including neural networks (e.g., CNNs, LSTMs, and transformers), to predict and optimize energy usage, often incorporating techniques like mixed precision training and data format optimization. This research is crucial for mitigating the environmental impact of computing and improving the efficiency of numerous technologies, leading to both economic and ecological benefits.