AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...
Abstract: This paper presents a resource-efficient, multi-resolution sliding Occupancy Grid Map (OGM) framework for resource-constrained Micro Aerial Vehicles (MAVs) equipped with RGB-D sensors, ...
Abstract: This study hopes to improve the accuracy and robustness of power load forecasting in smart grids. A load forecasting optimization model based on particle swarm optimization (PSO) is built.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results