Energy Consumption Prediction

Accurate energy consumption prediction is crucial for optimizing resource allocation and improving efficiency across various domains. Current research focuses on developing robust prediction models, employing neural networks (including convolutional and recurrent architectures) often enhanced by metaheuristic optimization algorithms to improve accuracy and handle missing data. These models are applied to diverse systems, from cloud computing and mobile applications to electric vehicles and Bluetooth Low Energy devices, demonstrating the broad applicability of this research. Improved prediction capabilities contribute to enhanced energy management, reduced operational costs, and more sustainable technological development.