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Found 7 papers, 1 papers with code
Transactive Local Energy Markets Enable Community-Level Resource Coordination Using Individual Rewards
This facilitates comparing ALEX and a benchmark energy management system, which optimizes building-level self-consumption, ramping rate, and peak net load.
Adversarial Fine-tune with Dynamically Regulated Adversary
Adversarial training is an effective method to boost model robustness to malicious, adversarial attacks.
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting
Therefore, edge computing methods, such as federated learning, are gaining more importance for this purpose.
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review
The goal of this review paper is to analyze and summarize: (1) which anomaly detection techniques can benefit from certain types of GANs, and how, (2) in which application domains GAN-assisted anomaly detection techniques have been applied, and (3) which datasets and performance metrics have been used to evaluate these techniques.
A Pub-Sub Architecture to Promote Blockchain Interoperability
While the development of different blockchain networks shows great potential for blockchains, the isolated networks have led to data and asset silos, limiting the applications of this technology.
Distributed, Parallel, and Cluster Computing
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention
The proposed model is based on two seminal concepts that led to significant performance improvements of deep learning approaches in other sequence-related fields, but not yet in the area of time series prediction: the sequence to sequence architecture and attention mechanism as a context generator.
Identification of Pleonastic It Using the Web
In a significant minority of cases, certain pronouns, especially the pronoun it, can be used without referring to any specific entity.
