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Since electrical load forecasting plays significant role in effective and economic operation of power utilities, it has long been of interest to researchers and academics. This paper combined artificial neural network and regression modelling methods to predict electrical load. We propose an approach for specific day, week and/or month load forecasting for electrical companies taking into account...
The main purpose of this paper is using artificial neural networks (ANNs) in wide area protection of power systems. In fact, implementation of an intelligent protection system of electric network for discrimination between fault and no-fault conditions and also recognition of fault type contains main structure of this paper. Proposed idea has been implemented on IEEE 8-busbars electric network that...
The present transmission systems are rapidly changing principally due to an increasing demand for better utilisation of existing lines resulting in lower transient stability limits, and also due to an increase in the complexity of the networks with small-scale distributed generation being connected into the existing networks. The current protection/fault location techniques are not conducive to such...
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