… forecasting methods of daily and hourly energy consumption, by using an Artificial Neural
Network … reveal that ANN are able to forecast daily and hourly energy consumption, as well the …

… forecasts. To fill this need, a temperature forecaster, based on artificial neural networks, has
been developed that predicts hourly … The prediction is based on forecast daily high and low …

… a data-driven forecasting model for day-… forecasting model based on an Artificial Neural
Network (ANN) model with Bayesian regularization algorithm and investigates how the network …

… potential and accuracy in forecasting problems. In this work, a network of artificial neural
networks (ANNs) was trained and validated to forecast the hourly worldwide electrical power …

… for the hourly forecast of … Neural Networks (ANN) to predict time series: Perceptron type
with Multiple Layers (MLP) and radial base functions (RBF), trained with historical data of hourly …

… In this paper, high-resolution hourly temperature forecasting is … neural network (SRN),
gated recurrent unit (GRU), long-short term memory (LSTM), convolutional neural network (CNN), …

… –LSTM model for hourly irradiance forecasting. Firstly, complete … network based on
convolutional neural network (CNN) and long short-term memory network (LSTM) is used to forecast …

… In this paper, composite multilayer neural network topologies, … the hourly EPF for the next
month in Australian electricity markets. The hourly temperature, hourly electricity load, hourly …

… The mid-term forecasts can either be hourly or peak load forecasts for a … accurate load
forecasts. This paper describes an artificial neural-network (ANN) hourly short-term electric load …

… (RNN) with the enhanced ability of a wavelet neural network (WNN) in mapping … wavelet
neural network (DRWNN) is newly established in this paper to perform fine forecasting of hourly …