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Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Vector Inputs
Journal article   Open access  Peer reviewed

Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Vector Inputs

Jaime Buitrago, Shihab Asfour and Univ. of Miami, Coral Gables, FL (United States)
Energies (Basel), Vol.10(1), pp.40-40
2017-01-01
url
https://doi.org/10.3390/en10010040View
Published (Version of record) Open

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics
4 Electrical Engineering, Electronics & Computer Science
4.18 Power Systems & Electric Vehicles
4.18.296 Unit Commitment
Web Of Science research areas
Energy & Fuels
ESI research areas
Engineering

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#7 Affordable and Clean Energy

Source: InCites

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