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Found 14 papers, 4 papers with code
Power and Hydrogen Hybrid Transmission for Renewable Energy Systems: An Integrated Expansion Planning Strategy
This paper introduces an expansion strategy for electric power and hydrogen transmission systems, tailored for future renewable energy-enriched grids.
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
We separate the attack into three stages: style reference selection, reinforcement-learning-based logo style transfer, and perturbation optimization.
Transmission Planning for Climate-impacted Renewable Energy Grid: Data Preparation, Model Improvement, and Evaluation
As renewable energy is becoming the major resource in future grids, the weather and climate can have higher impact on the grid reliability.
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
Overall, case studies demonstrated the effectiveness of ML models trained with different weather and time input features for ERCOT load forecasting.
Track-before-detect Algorithm based on Cost-reference Particle Filter Bank for Weak Target Detection
This paper presents a track-before-detect (TBD) algorithm based on an improved particle filter, i. e. cost-reference particle filter bank (CRPFB), which turns the problem of target detection to the problem of two-layer hypothesis testing.
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrigue across scientific, commercial, and societal arenas.
A Synthetic Texas Backbone Power System with Climate-Dependent Spatio-Temporal Correlated Profiles
Most power system test cases only have electrical parameters and can be used only for studies based on a snapshot of system profiles.
Cost-benefit Analysis And Comparisons For Different Offshore Wind Energy Transmission Systems
The other two methods utilize a hydrogen supercenter (HSC) and transmit offshore energy to and onshore substation through hydrogen pipelines.
Annual Benefit Analysis of Integrating the Seasonal Hydrogen Storage into the Renewable Power Grids
In this paper, an annual scheduling model (ASM) for energy hubs (EH) coupled power grids is proposed to investigate the annual benefits of seasonal hydrogen storage (SHS).
The Benefits of Hydrogen Energy Transmission and Conversion Systems to the Renewable Power Grids: Day-ahead Unit Commitment
In this paper, hydrogen pipeline networks, combined with power-to-hydrogen (P2H) and hydrogen-to-power (H2P) facilities, are organized to form a Hydrogen Energy Transmission and Conversion System (HETCS).
Optimal Skeleton Network Reconfiguration considering Topological Characteristics and Transmission Path
Power system restoration can be divided into three stages: black-start, network reconfiguration, and load restoration.
Edge Attention-based Multi-Relational Graph Convolutional Networks
The proposed GCN model, which we call edge attention-based multi-relational GCN (EAGCN), jointly learns attention weights and node features in graph convolution.
VIGAN: Missing View Imputation with Generative Adversarial Networks
Especially, when certain samples miss an entire view of data, it creates the missing view problem.
A Sparse Interactive Model for Matrix Completion with Side Information
We prove that when the side features can span the latent feature space of the matrix to be recovered, the number of observed entries needed for an exact recovery is $O(\log N)$ where $N$ is the size of the matrix.
