Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
An empirical study on sea water quality prediction
Knowledge-Based Systems
Greedy regression ensemble selection: Theory and an application to water quality prediction
Information Sciences: an International Journal
Applying adaptive prediction to sea-water quality measurements
Expert Systems with Applications: An International Journal
A neural network-based estimation of electric fields along high voltage insulators
Expert Systems with Applications: An International Journal
| Hi-index | 12.07 |
Power plant cooling water systems that interact with nearby effluents are complex non-linear, large-time-delay systems. A neural network-based software tool was developed for prediction of the canal water discharge temperature at a coal-fired power plant as a function of plant operating parameters and local weather conditions, including tide information. The plant has four units totaling an installed capacity of 1550MW and its water thermal discharge is environmentally regulated. In the summer months, when the price of electricity is very profitable and the risk of exceeding the canal temperature limit is greater, the tradeoff between maximum generation and environmental compliance violations is financially significant. The software is a predictive tool to assist in scheduling load generation among the plant's four units without exceeding a thermal discharge limit of 95^oF. Back propagation neural network architectures were trained using plant operating data with an 'off-set' component. The artificial intelligence models produced reasonable trends for year-round prediction and different operational scenarios. Comparison of measured and predicted canal temperatures indicated an accuracy of less than 0.3^oF over the range between 90 and 95^oF. The software tool was developed as an Object Linking and Embedding (OLE) for Process Control (OPC) client, with real-time communication and interface with the plant Distributed Control System (DCS).