[PDF] Top 20 Autoencoders: application to forecasting
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Autoencoders: application to forecasting
... autoencoder to use in the prediction model has only three layers which makes possible to train this NN with the normal RPROP algorithm, without the need of more complex training procedures like the one used ... See full document
83
FORECASTING RESIDENTIAL ELECTRICITY CONSUMPTION IN BRAZIL: APPLICATION OF THE ARX MODEL
... due to the growing number of consumers, income expansion, rising sales of electrical appliances and greater mean consumption per ...connected to the power grid in 2008, almost half whom lived in the North, ... See full document
14
Application of Artificial Neural Network for Seasonal Rainfall Forecasting: A Case Study for South Australia
... used to forecast seasonal rainfall with correlation ...made to use all the possible combined lags as predictors in MR modelling, but most of the combined-lagged predictor’s model was not statistically ... See full document
5
BIBLIOMETRIC ANALYSIS: A STUDY APPLIED TO TECHNOLOGICAL FORECASTING
... contributed to the field of future studies, and this knowledge has been improved through real application in companies and public ...is to research the application of bibliometric analysis ... See full document
33
Training autoencoders for state estimation in smart grids
... functions to achieve a total unsupervised learning paradigm for a topology estimation ...try to aggregate all the open cases and closed cases in different regions of ...lead to a sig- nificant ... See full document
79
A baseline probabilistic drought forecasting framework using standardized soil moisture index: application to the 2012 United States drought
... Using the standardized soil moisture index (SSI) as the drought indicator, a persistence-based drought prediction method is presented and used for predicting the 2012 United States drought. It is shown that because of ... See full document
8
Inclusion of potential vorticity uncertainties into a hydrometeorological forecasting chain: application to a medium size basin of Mediterranean Spain
... useful to reduce these biases at the analyzed hydromet- ric sections – Castellbell and Sant Joan Desp´ı –, for most of the hydrometeorological ...worth to note that the procedure pre- sented in this work ... See full document
19
Technical Note: The normal quantile transformation and its application in a flood forecasting system
... included to demonstrate the performance of the error correction show- ing the corrected one step ahead predictions, the observa- tions and the prediction uncertainties estimated by the HUP (Krzysztofowicz and ... See full document
10
Actionable Forecasting and Activity Monitoring: Applications to Financial Trading
... techniques to focus on cases (the most frequent) that are not relevant for the application ...specific to classification tasks as these algorithms do not distinguish among the different types of ... See full document
128
Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez Catchment in Southern France
... contrast to GIS-based approaches which use the kinematic wave approximation (a simplifica- tion of the Saint-Venant equations for shallow water flow) or the Manning equations for open channel flow (Bates and De ... See full document
53
Ocean forecasting for the German Bight: from regional to coastal scales
... ocean forecasting in the fields of nu- merical modeling, data assimilation, and observational array design, exemplified by the Coastal Observing System for the North and Arctic Seas ...presented to ... See full document
32
A SOM-based hierarchical model to short-term load forecasting
... the application of NNs to STLF use the multilayer perceptron (MLP) trained with error ...ability to detect data outside the domain of the training ...yields to the model the power to ... See full document
6
FORECASTING LONG-TERM GOVERNMENT BOND YIELDS: AN APPLICATION OF STATISTICAL AND AI MODELS
... bonds to equities, bonds prices tend to decrease and bonds yields to increase as these variables move in opposite ...direction. To capture this relationship an indicator for the stock market ... See full document
34
Forecasting key performance indicator of mobile networks: application to mobile cellular networks
... compared to the previous ...made to "describe" more components of a time series and thus being more complex compared to the Random-Walk, had the lowest error per forecast ...compared ... See full document
95
Multi-Personal Communications in Bass Diffusion Model: Application to Forecasting of Development of Internet
... -known method of ics of new products mple evidence [2-5] the dynamics of the ame time it is noted rom the predictions l. It is necessary to ] mainly are used as however, as shown ally much greater. In eting of ... See full document
4
Time series data mining for energy prices forecasting: an application to real data
... 10/03/2014 to 29/05/2016, in a total of 19461(= 811×24−3) ...30/05 to 28/06/2016 were used for comparison between the real hourly prices and the forecast of the VARX(7, 0) ... See full document
11
Precipitation rate spectra as dependent on dynamic forcing: application to probabilistic forecasting
... 1. Forecasting of the whole spectrum of P probabilities (in- stead of a single “most likely” ...used to approximate the probabilities with a good accuracy, be- cause the sample of the used data is large and ... See full document
6
Forecasting techniques for information and communication systems: application to mobile cellular networks
... referring to events independently of their time of occurrence and forecast as referring to an event associated with its time of ...the forecasting world may doubt the credibility and efficacy of ... See full document
163
Forecasting techniques: application to cellular networks
... possibility to use an editor (in this work is Spyder) to enter multiple lines of codes at one, however the interpreter will run them individually until the last line (or appear an ...comparing to ... See full document
92
Application of autoencoders and evolutionary swarms to optimization problems
... 64 Figure 5.50 - Evolution of the training procedure for the autoencoder used to restore injected Active and Reactive Power and switching device status... after 20 iterations using POCS.[r] ... See full document
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