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Scientific World Journal, ISSN 2356-6140, 2014, Volume 2014, p. 301032
Energy consumption prediction is an important issue for governments, energy sector investors, and other related corporations. Although there are several... 
Models, Theoretical | China | Energy-Generating Resources | Forecasting - methods | Economic aspects | Energy consumption | Forecasts and trends | Energy industry | Economic growth | Studies | Consumption | Advantages | Coal | Time series | Science | Optimization algorithms | Optimization techniques | Models | Statistical methods | System theory
Journal Article
Neurocomputing, ISSN 0925-2312, 08/2017, Volume 249, pp. 128 - 139
Iron ore sintering process is the second-most energy-consuming procedure in the iron making industry. The main energy for it is the combustion of coke, which... 
Carbon efficiency | Residual prediction | Elman recurrent neural network | Time series prediction | Extreme learning machine | Iron ore sintering process | MISSING MEASUREMENTS | MUTUAL INFORMATION | MACHINE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Iron ores | Iron industry | Neural networks | Analysis | Sintering | Neurons
Journal Article
Living Reviews in Solar Physics, ISSN 1614-4961, 2010, Volume 7, Issue 6, p. 6
A review of solar cycle prediction methods and their performance is given, including forecasts for cycle 24. The review focuses on those aspects of the solar... 
LONG-TERM PERSISTENCE | GRAND MINIMA | GNEVYSHEV-OHL RULE | POLAR FACULAE | ASTRONOMY & ASTROPHYSICS | OPEN MAGNETIC-FLUX | TIME-SERIES | SPECTRAL COMPONENTS | GROUP SUNSPOT NUMBERS | FLUX-TRANSPORT DYNAMO | HELIOSPHERIC CURRENT SHEET | Physics - Solar and Stellar Astrophysics | Review | Solar cycle | Solar dynamo
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 2010, Volume 37, Issue 2, pp. 1784 - 1789
Being able to forecast time series accurately has been quite a popular subject for researchers both in the past and at present. However, the lack of ability of... 
Error corrected grey models | Grey models | Time series prediction | GM(1,1) | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | NEURAL-NETWORKS | SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
The American Economic Review, ISSN 0002-8282, 5/2012, Volume 102, Issue 3, pp. 482 - 486
The assumption that one of a set of prediction models is a literal description of reality formally underlies many formal econometric methods, including... 
Economic models | Vector autoregression | Economic forecasting models | MODEL SELECTION | Time series forecasting | Macroeconomic modeling | Predictive modeling | Bayesian networks | Macroeconomics | Modeling | Forecasting models | ECONOMICS | Bayesian statistical decision theory | Prediction theory | Models | Economic theory
Journal Article
Renewable Energy, ISSN 0960-1481, 04/2016, Volume 89, pp. 671 - 679
Journal Article
Lancet Neurology, ISSN 1474-4422, 2002, Volume 1, Issue 1, pp. 22 - 30
Journal Article
IEEE Transactions on Cloud Computing, ISSN 2168-7161, 10/2015, Volume 3, Issue 4, pp. 449 - 458
As companies shift from desktop applications to cloud-based software as a service (SaaS) applications deployed on public clouds, the competition for end-users... 
Cloud computing | Time series analysis | Software as a service | Quality of service | Computer architecture | Predictive models | Load modeling | ARIMA | Workload prediction | TIME-SERIES | COMPUTER SCIENCE, INFORMATION SYSTEMS | COMPUTER SCIENCE, THEORY & METHODS | workload prediction | Accuracy | Workloads | Software services
Journal Article