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Agglomerative Hierarchical Clustering with Dynamic Time Warping for Household Load Curve Clustering
Energy companies often implement various demand response (DR) programs to better match electricity demand and supply by offering the consumers incentives to reduce their demand during critical periods.
Reinforcement Learning Algorithms: An Overview and Classification
The desire to make applications and machines more intelligent and the aspiration to enable their operation without human interaction have been driving innovations in neural networks, deep learning, and other machine learning techniques.
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review
There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones, in different applications such as packages delivery, traffic monitoring, search and rescue operations, and military combat engagements.
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