mlsanityData to 14 Oct 2026

LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting

arXiv 2410.15286 ↗First posted 20 Oct 2024cs.LG econ.GN q-fin.ECcited by 7

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Abstract (arXiv)

Against the backdrop of increasingly severe global environmental changes, accurately predicting and meeting renewable energy demands has become a key challenge for sustainable business development. Traditional energy demand forecasting methods often struggle with complex data processing and low prediction accuracy. To address these issues, this paper introduces a novel approach that combines deep learning techniques with environmental decision support systems. The model integrates advanced deep learning techniques, including LSTM and Transformer, and PSO algorithm for parameter optimization, significantly enhancing predictive performance and practical applicability. Results show that our model achieves substantial improvements across various metrics, including a 30% reduction in MAE, a 20% decrease in MAPE, a 25% drop in RMSE, and a 35% decline in MSE. These results validate the model's effectiveness and reliability in renewable energy demand forecasting. This research provides valuable insights for applying deep learning in environmental decision support systems.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 27 of its 81 references that are in the map. First posted on arXiv 20 Oct 2024.

Builds on

27 of 81 references.

References · 27

  1. 2023LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inferencecited by 27
  2. 2024Harnessing XGBoost for Robust Biomarker Selection of Obsessive-Compulsive Disorder (OCD) from Adolescent Brain Cognitive Development (ABCD) datacited by 26
  3. 2024CU-Net: a U-Net architecture for efficient brain-tumor segmentation on BraTS 2019 datasetcited by 24
  4. 2023Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspectivecited by 23
  5. 2024Deep Learning-based Anomaly Detection and Log Analysis for Computer Networkscited by 23
  6. 2023Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networkscited by 22
  7. 2024Automatic News Generation and Fact-Checking System Based on Language Processingcited by 22
  8. 2024Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guaranteescited by 22
  9. 2024Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learningcited by 20
  10. 2024Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU modelcited by 18
  11. 2024Robust Domain Generalization for Multi-modal Object Recognitioncited by 18
  12. 2024Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learningcited by 17
15 more
  1. 2024Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environmentscited by 17
  2. 2024Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusioncited by 16
  3. 2024AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computingcited by 15
  4. 2024The Design of Autonomous UAV Prototypes for Inspecting Tunnel Construction Environmentcited by 15
  5. 2024Few-shot Name Entity Recognition on StackOverflowcited by 14
  6. 2022Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approachcited by 12
  7. 2024Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysiscited by 12
  8. 2020Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Gridscited by 11
  9. 2024Mix of Experts Language Model for Named Entity Recognitioncited by 11
  10. 2024Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approachcited by 11
  11. 2024Graphical Structural Learning of rs-fMRI data in Heavy Smokerscited by 11
  12. 2022Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approachcited by 8
  13. 2024Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networkscited by 8
  14. 2024EITNet: An IoT-Enhanced Framework for Real-Time Basketball Action Recognitioncited by 8
  15. 2024Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learningcited by 8

Built on by

Cited by year

Citing papers per year: 2024: 2; 2025: 5.

7 papers.

  1. 2024IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPosecited by 7
  2. 2024Optimized CNNs for Rapid 3D Point Cloud Object Recognitioncited by 5
  3. 2025Intelligent logistics management robot path planning algorithm integrating transformer and GCN networkcited by 4
  4. 2025CPLOYO: A Pulmonary Nodule Detection Model with Multi-Scale Feature Fusion and Nonlinear Feature Learningcited by 3
  5. 2025MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Trafficcited by 3
  6. 2025Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learningcited by 0
  7. 2025DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstructioncited by 0