A robust operation-based scheduling optimization for smart distribution networks with multi-microgrids
Sign Up to like & getrecommendations! Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.04.087
Abstract: Abstract This paper proposes a two-level interactive mechanism to address the day-ahead scheduling optimization of smart distribution networks with multi-microgrids. Each microgrid realizes the economic dispatch in the lower level interactive model, where the uncertainties… read more here.
Keywords: scheduling optimization; networks multi; optimization smart; smart distribution ... See more keywords
Integrating graph neural networks and LSTM for path optimization in smart port multi-modal systems
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DOI: 10.1371/journal.pone.0336629
Abstract: This paper addresses the challenges of dynamic environments and multimodal data fusion in multimodal transport path optimization for smart ports by proposing a GL-SSL Model that integrates Graph Neural Networks (GCN), Long Short-Term Memory (LSTM),… read more here.
Keywords: graph neural; optimization smart; path optimization; model ... See more keywords
ENERGY CONSUMPTION OPTIMIZATION OF SMART LANDSCAPE LOW-CARBON BUILDINGS BASED ON DEEP LEARNING
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DOI: 10.15666/aeer/2306_1166111673
Abstract: . To address the issue of insufficient accuracy in traditional building energy consumption prediction models, this paper proposes a landscape architecture energy consumption prediction method based on a Temporal Convolutional Network (TCN). The method innovatively… read more here.
Keywords: energy; optimization smart; energy consumption; consumption optimization ... See more keywords