94,015 research outputs found
Multi-objective particle swarm optimization algorithm for multi-step electric load forecasting
As energy saving becomes more and more popular, electric load forecasting has played a more and more crucial role in power management systems in the last few years. Because of the real-time characteristic of electricity and the uncertainty change of an electric load, realizing the accuracy and stability of electric load forecasting is a challenging task. Many predecessors have obtained the expected forecasting results by various methods. Considering the stability of time series prediction, a novel combined electric load forecasting, which based on extreme learning machine (ELM), recurrent neural network (RNN), and support vector machines (SVMs), was proposed. The combined model first uses three neural networks to forecast the electric load data separately considering that the single model has inevitable disadvantages, the combined model applies the multi-objective particle swarm optimization algorithm (MOPSO) to optimize the parameters. In order to verify the capacity of the proposed combined model, 1-step, 2-step, and 3-step are used to forecast the electric load data of three Australian states, including New South Wales, Queensland, and Victoria. The experimental results intuitively indicate that for these three datasets, the combined model outperforms all three individual models used for comparison, which demonstrates its superior capability in terms of accuracy and stability
Topological Resonating-Valence-Bond Spin Liquid on the Square Lattice
A one-parameter family of long-range resonating valence bond (RVB) state on
the square lattice was previously proposed to describe a critical spin liquid
(SL) phase of the spin- frustrated Heisenberg model. We provide evidence
that this RVB state in fact also realises a topological (long-range entangled)
SL, limited by two transitions to critical SL phases. The
topological phase is naturally connected to the gauge symmetry
of the local tensor. This work shows that, on one hand, spin- topological
SL with point group symmetry and spin rotation symmetry exists
on the square lattice and, on the other hand, criticality and nonbipartiteness
are compatible. We also point out that, strong similarities between our phase
diagram and the ones of classical interacting dimer models suggest both can be
described by similar Kosterlitz-Thouless transitions. This scenario is further
supported by the analysis of the one-dimensional boundary state.Comment: v2: improve presentation, present new evidence and add reference
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