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Environment Modelling for Spatial Load Forecasting
2015We present here an autonomous agent-based system tightly coupled with Geographic Information Systems GIS. Our objective is to model a city's dynamic in order to foresee both its urban evolution and the influence that the appearance of new settlements has on the overall electricity demand.
Ander Pijoan +2 more
openaire +1 more source
Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks
IEEE Transactions on Smart Grid, 2021Weixuan Lin, Di Wu, Benoit Boulet
exaly
Short-term load forecasting based on LSTM networks considering attention mechanism
International Journal of Electrical Power and Energy Systems, 2022Jin Ma, Jianguo Zhu
exaly

