Maher Selim
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View article: Estimating Energy Forecasting Uncertainty for Reliable AI Autonomous Smart Grid Design
Estimating Energy Forecasting Uncertainty for Reliable AI Autonomous Smart Grid Design Open
Building safe, reliable, fully automated energy smart grid systems requires a trustworthy electric load forecasting system. Recent work has shown the efficacy of Long Short-Term Memory neural networks in energy load forecasting. However, s…
View article: Reducing error propagation for long term energy forecasting using multivariate prediction
Reducing error propagation for long term energy forecasting using multivariate prediction Open
Many statistical and machine learning models for prediction make use of historical data as an input and produce single or small numbers of output values. To forecast over many timesteps, it is necessary to run the program recursively. This…