A Machine Learning Approach for Fire-Fighting Detection in the Power Industry
Coal combustion; Coal fired power plant; Coal industry; Coal storage; Fires; Forecasting; Fossil fuel power plants; Multilayer neural networks; Sensitivity analysis; Spontaneous combustion; Clinker formation prediction model; Complex Processes; Fighting detections; Fire fighting; Machine learning ap...
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| Main Authors: | , , , |
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| Format: | Article |
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Hashemite University
2023
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| Institution: | Universiti Tenaga Nasional |
| Summary: | Coal combustion; Coal fired power plant; Coal industry; Coal storage; Fires; Forecasting; Fossil fuel power plants; Multilayer neural networks; Sensitivity analysis; Spontaneous combustion; Clinker formation prediction model; Complex Processes; Fighting detections; Fire fighting; Machine learning approaches; Power industry; Prediction modelling; Reserved coals; Spontaneous combustion of coals; Storage yards; Coal |
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