ML-Based Hierarchical Prediction for Practical Energy Scheduling in Dynamic NTN-WPT Systems

arXiv:2608.08804 · eess.SY, cs.LG, cs.SY · Submitted 2026-08-09 · Read on arXiv

Zhanyu Ju, Wenchi Cheng

eess.SY, cs.LG, cs.SY

Submitted: 2026-08-09

Updated: 2026-08-11

Comments: 21 pages, 11 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Energy Efficiency — 30× in this paper · explained in 4 episodes
Task Completion Rate — 16× in this paper
Reinforcement Learning — 12× in this paper · explained in 4 episodes
Core — 10× in this paper · explained in 2 episodes
Embeddings — 9× in this paper · explained in 2 episodes
Robustness — 7× in this paper · explained in 6 episodes
Multi-objective Optimization — 6× in this paper · explained in 5 episodes
Reward Function — 6× in this paper · explained in 4 episodes
Actor — 5× in this paper · explained in 3 episodes
Attention Mechanism — 5× in this paper · explained in 3 episodes
Transformer — 5× in this paper · explained in 2 episodes
Average Task Waiting Time — 4× in this paper
Mobile Edge Computing — 4× in this paper · explained in 2 episodes
Computational overhead — 3× in this paper · explained in 2 episodes
Deep Reinforcement Learning — 3× in this paper · explained in 3 episodes
Hierarchical Framework — 3× in this paper · explained in 2 episodes
Machine Learning (ML) — 3× in this paper · explained in 2 episodes
Non-stationarity — 3× in this paper · explained in 2 episodes
Objective Function — 3× in this paper · explained in 2 episodes
Abstraction — 2× in this paper · explained in 1 episode
Benchmark — 2× in this paper · explained in 2 episodes
Clarity — 2× in this paper · explained in 3 episodes
Curse of Dimensionality — 2× in this paper · explained in 6 episodes
Generative AI — 2× in this paper · explained in 2 episodes
Graph Neural Network (GNN) — 2× in this paper · explained in 5 episodes
Hyperparameters — 2× in this paper · explained in 2 episodes
National Aeronautics and Space Administration — 2× in this paper
Network Energy Efficiency — 2× in this paper
Parameterization — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Allocator — 1× in this paper · explained in 2 episodes
Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
Battery Depletion Count — 1× in this paper
Decoder — 1× in this paper · explained in 2 episodes
Deep Reinforcement Learning (DRL) — 1× in this paper · explained in 2 episodes
Energy Waste Rate — 1× in this paper
Fairness of Received Energy — 1× in this paper
Feature Engineering — 1× in this paper · explained in 3 episodes
GNNs — 1× in this paper · explained in 2 episodes
Graph Construction — 1× in this paper · explained in 3 episodes
Graph Neural Networks (GNNs) — 1× in this paper · explained in 13 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Language Models (LLMs) — 1× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
Localization — 1× in this paper · explained in 2 episodes
Multi-Agent System — 1× in this paper · explained in 7 episodes
Proximal Policy Optimization (PPO) — 1× in this paper · explained in 8 episodes
Pruning — 1× in this paper · explained in 4 episodes
Quantization — 1× in this paper · explained in 15 episodes
Reward Shaping — 1× in this paper · explained in 2 episodes
Steering — 1× in this paper · explained in 2 episodes
Transformer Architecture — 1× in this paper · explained in 4 episodes
Transformer Encoder — 1× in this paper · explained in 2 episodes

Terminology

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