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2006, 1, Inside technology, ISBN 0262134608, Volume 1, x, 377
In An Engine, Not a Camera, Donald MacKenzie argues that the emergence of modern economic theories of finance affected financial markets in fundamental ways.... 
Mathematical models | Capital market | Financial crises | Derivative securities | Finance & Accounting | Financial crises - Mathematical models
Book
Tourism Management, ISSN 0261-5177, 02/2015, Volume 46, pp. 386 - 397
Journal Article
1986, 1st ed. --, ISBN 0385199724, xii, 298
Book
1990, ISBN 9781872180465, xii, 298
Book
International Journal of Hydrogen Energy, ISSN 0360-3199, 08/2016, Volume 41, Issue 32, pp. 14330 - 14350
The ever-increasing demand for fossil fuels and environmental issues have been the major concerns over the past few decades to search for viable alternative... 
BSEC | Emission | ANN | Performance | NOx | Soot | ELECTROCHEMISTRY | SQUARE FORECAST ERRORS | COMBUSTION | LIMITATIONS | ENERGY & FUELS | CHEMISTRY, PHYSICAL | SENSORS | DIESEL-ENGINE | OIL | NEURAL-NETWORK | EXHAUST EMISSIONS | GASOLINE-ENGINE | TOOL | Nitrogen oxide | Hydrogen as fuel | Usage | Algorithms | Hydrogen | Fuel cells | Fossil fuels | Energy minerals | Mechanical engineering | Artificial intelligence
Journal Article
Neural Processing Letters, ISSN 1370-4621, 8/2018, Volume 48, Issue 1, pp. 329 - 351
Journal Article
Energy, ISSN 0360-5442, 11/2017, Volume 139, pp. 18 - 30
For optimal power system operation, electrical generation must follow electrical load demand. So, short term load forecast (STLF) has been proposed by... 
Empirical mode decomposition | Building electricity load | IENN | Max-relevance min-redundancy | FEATURE-SELECTION | SYSTEM | THERMODYNAMICS | ENERGY & FUELS | NEURAL-NETWORK | OPTIMIZATION | MODEL | PREDICTION | Computer science | Algorithms | Neural networks | Analysis | Forecasts and trends | Big data | Electric power systems
Journal Article
Journal Article
International Journal of Electrical Power and Energy Systems, ISSN 0142-0615, 01/2019, Volume 104, pp. 423 - 435
This work proposes different prediction models based on multi-block forecast engine for load and price forecast in electricity market. Due to high correlation... 
Intelligent algorithm | Load and price | Feature selection | Multi-block forecast engine | MARKET | ALGORITHM | MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | TERM ELECTRIC-LOAD | TIME-SERIES | NEURAL-NETWORK | WAVELET TRANSFORM | OPTIMIZATION | Neural networks | Analysis | Algorithms
Journal Article
Journal of Economic Growth, ISSN 1381-4338, 3/2015, Volume 20, Issue 1, pp. 75 - 104
Journal Article
Energy, ISSN 0360-5442, 10/2018, Volume 161, pp. 130 - 142
Short-term load forecasting is of major interest for the restructured environment of the electricity market. Accurate load forecasting is essential for... 
Load forecast | Two stage forecast engine | Intelligent algorithm | Feature selection | Ridgelet NN | Elman NN | MARKET | ENERGY & FUELS | INFORMATION | ECHO STATE NETWORKS | PREDICTION | STOCHASTIC SEARCH ALGORITHM | PARTICLE SWARM OPTIMIZATION | THERMODYNAMICS | MODELS | RELEVANCE | NEURAL-NETWORK
Journal Article
Journal of Intelligent and Fuzzy Systems, ISSN 1064-1246, 2017, Volume 32, Issue 6, pp. 4031 - 4045
Journal Article