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CIMCA
2005
IEEE
14 years 4 days ago
Accurate Electricity Load Forecasting with Artificial Neural Networks
In this paper we present a simple yet accurate model to forecast electricity load with Artificial Neural Networks (ANNs). We analyze the problem domain and choose the most adequat...
Daniel Ortiz Arroyo, Morten K. Skov, Quang Huynh
AAAI
2011
12 years 10 months ago
Market Manipulation with Outside Incentives
Much evidence has shown that prediction markets, when used in isolation, can effectively aggregate dispersed information about uncertain future events and produce remarkably accur...
Yiling Chen, Xi Alice Gao, Rick Goldstein, Ian A. ...
NN
2000
Springer
150views Neural Networks» more  NN 2000»
13 years 10 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
TIT
2002
89views more  TIT 2002»
13 years 9 months ago
Universal linear least squares prediction: Upper and lower bounds
We consider the problem of sequential linear prediction of real-valued sequences under the square-error loss function. For this problem, a prediction algorithm has been demonstrate...
Andrew C. Singer, Suleyman Serdar Kozat, Meir Fede...
ITCC
2003
IEEE
14 years 3 months ago
ACE: A Resource-Aware Adaptive Compression Environment
We present an adaptive compression environment (ACE) that uses both underlying resource performance (network and CPU) predictions and the compressibility of the data stream to per...
Sezgin Sucu, Chandra Krintz