atmospheric pressure; backpropagation; humidity; load forecasting; power engineering computing; power generation planning; radial basis function networks; tariffs; ANN structures; BPNN; ELMAN neural network; ELMNN; India; New Delhi region; RBFNN; artificial neural networks; atmospheric pressure; back propagation neural network; constant tariff scheme; day-type; economic power generation; electrical load; electricity cost; electricity price; nonlinear electrical environment; nonlinear mapping characteristics; power system planning; radial basis function neural network; relative humidity; short-term electric load forecasting model; temperature; Artificial neural networks; Electricity; Forecasting; Load forecasting; Load modeling; Neurons; Predictive models; Back propagation neural network; ELMAN neural network; moving average method; power system planning; radial basis function neural network; toad forecasting;
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