The proposed hybrid drone-based framework integrates long short-term memory with unique cost functions using an evolutionary neural network for drones and BSs and efficiently manages energy and load redistribution  ...  In this work, we propose a novel user load transfer approach using airborne base stations (BS) mounted on drones for reliable and secure power redistribution across the micro-grid network comprising green  ...  We proposed a hybrid drone-based framework leveraging UAVs, LSTM models, and genetic algorithms for energy and load management in 5G networks.  ...