neural-network forecasting techniques
An Ensemble Data Mining and FLANN Combining Short-term Load Forecasting System for Abnormal Days
... load forecasting systems. To integrate the advantages of several forecasting models for improving the forecasting accuracy, based on data mining and artificial neural network ...
8
Evaluating the effectiveness of neural network techniques in the forecasting of South African basic fuel prices
... the forecasting of the South African fuel price, especially the basic fuel price using neural ...the forecasting of various fuel prices using a neural network approach, for instance ...
73
Wavelet Neural Network Based Very Short-term Load Forecasting and Prediction Interval Estimation
... simple techniques consisting of if-then rules, low pass filtering, and NN based self-filtering were used to handle STLF spikes in (Fidalgo and Peças Lopes, ...of neural networks for future three-day wind ...
104
Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China
... at neural network models is their inability to explain their reasoning and, therefore, in real time, how confident can one be in a flood forecast they have made? The authors are investigating the internal ...
8
Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... In computer engineering and related fields, ANNs are computational models stimulated by animal central sensory systems (specifically the brain) that are capable for machine learning and pattern recognition. They are ...
9
Deep neural network for load forecasting centred on architecture evolution
... Bayesian techniques. Among these techniques, the more frequently used are reinforcement learning and ...learning techniques com- monly use policy optimization to estimate DNN parameters and ...EA ...
9
A New Approach for Rainfall Prediction using Artificial Neural Network
... weather forecasting, Rainfall Prediction has a broader ...of forecasting the rainfall techniques are provided in India, because India is an agricultural country and the rainfall and humidity is the ...
12
DEEPWATER PRODUCTION FORECASTING USING COMPUTATIONAL INTELLIGENCE TECHNIQUES
... the network are adjusted in the course of an iterative process termed ...many network architectures but Multilayer Perception is the most popular among ...forward neural network input layer is ...
5
FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING
... Weather forecasting is a challenging time series forecasting problem because of its dynamic, continuous, data-intensive, chaotic and irregular ...series forecasting techniques exist and are ...
13
Short Term Load Forecasting Using a Neural Network Based Time Series Approach
... and neural network models are some of the computational intelligence based ...modeling techniques and heavy computational ef- forts are required to produce reasonably accurate results ...
128
Improvement of Demand Forecasting Models with Special Days
... the forecasting results are over the demand level, there will be idle cash in ...ATM network and major savings will be made in addition to the customer ...many techniques for cash demand ...
6
Diagnosis of Breast Cancer Using Intelligent Techniques
... Artificial neural network may be defined as an information-processing model that is inspired by the way biological nervous system, such as brain, processes information (Shivanandan & Deepa, ...
9
Economic Forecasting: Challenges and Neural Network Solutions
... Noise: Macroeconomic time series are intrinsically very noisy and generally have poor signal to noise ratios. (See figures 2 and 3.) The noise is due both to the many unobserved variables in the economy and to the survey ...
8
Demand forecasting Using Artificial Neural Network Based on Different Learning Methods: Comparative Analysis
... Series Forecasting (TSF) is to predict the behavior of complex systems by looking only at past patterns of the same ...al.,1991) Forecasting is an integral part of supply chain ...Traditional ...
13
HYBRID AND INTEGRATED APPROACH TO SHORT TERM LOAD FORECASTING
... The forecasting of electricity demand has become one of the major research fields in Electrical ...intelligence techniques to the Load-Forecasting ...(AI) techniques used for load ...
6
Study on Pollution Forecasting using 2Phase Neural Network
... deterministic techniques created in different districts for demonstrating and observing the air contamination ...unrivaled techniques, for example, measurable models ...
7
Short-Term Load Forecasting using Artificial Neural Network Techniques
... The data employed for training and testing the neural network were obtained from the NEMMCO website for the period June-July 2006. Due to wrong measurements and other human errors, some out-of- range values ...
48
Suitability of neural network for weather forecasting: a comprehensive literature review
... mining techniques and artificial neural ...the neural network tool in MATLAB, which reduced the work load of coding and the data set are successfully trained without any ...that Neural ...
17
Volatility Forecasting using Machine Learning and Time Series Techniques
... learning techniques such as Naïve Forecast and Neural Network based techniques and time series forecasting techniques such as Arima, Arfima, Bats, Tbats, BoxCox, Rand Walk ...
9
Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects
... structural macroeconomic models as presented by Flannery and Protopapadakis (2002), Andersen et al. (2003), Pearce and Solakoglu (2007), Evans and Speight (2010) and recently Bacchetta and Wincoop (2013). The main reason ...
46