… load is affected by many external factors such as weather, … long-term dependencies. GRU
has also high performance in maintaining dependencies and information in the long term. As …

… such as weather conditions, customers … long term predictions with a time horizon exceeding
one week. In [15], author presented a univariate forecasting method based on neural network…

… load curves, weather conditions, and calendar effects, staying on schedule is more difficult
than ever. Numerous weather … relative humidity into the load forecasting model. Friedrich and …

… current load conditions. In this sense, the static neural network is a lane load forecasting
method, … The factors that affect the load fluctuation include weather conditions, social events, etc. …

… It is less affected by weather than summer and winter, where air-conditioning usage is the …
Dynamic transverse correction method of middle and long term energy forecasting based on …

… by using data from the first nine months as the training set, the model could learn about changes
in the patterns of electricity consumption in all weather conditions. … a long period of time. …

… .), as well as meteorological or weather related factors (ambient temperature, … load forecasting
using a stacked bidirectional long short-term memory (SB-LSTM) recurrent neural network …

… short-term load forecasting methods require data that are mainly associated with the time
dimension: historical load, historical weather conditions, … to forecast the load in the long term, …

… according to the historical data of power load, economy, and weather condition. … method
has good advantages in short-term load forecasting and can effectively improve the forecasting …

… load forecasts using ANN where they describe different optimization techniques used along
with ANN for load forecasting considering weather … Larger epochs take longer run time and …