Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Short Term Load Forecasting Models in Czech Republic Using Soft
  Computing Paradigms   This paper presents a comparative study of six soft computing models namely
multilayer perceptron networks, Elman recurrent neural network, radial basis
function network, Hopfield model, fuzzy inference system and hybrid fuzzy
neural network for the hourly electricity demand forecast of Czech Republic.
The soft computing models were trained and tested using the actual hourly load
data for seven years. A comparison of the proposed techniques is presented for
predicting 2 day ahead demands for electricity. Simulation results indicate
that hybrid fuzzy neural network and radial basis function networks are the
best candidates for the analysis and forecasting of electricity demand.

15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg