This paper proposes a novel non-parametric approach for the analysis and prediction of electricity price curves by applying the manifold learning methodology. Cluster analysis based on the embedded low-dimensional manifold of the original price data is employed to identify characteristics of the price curve shape. The proposed price curve model performs well in forecasting both short-term price...

Considering the fact that natural gas is a widely used energy source,  the prediction of its consumption can be useful (Derek LAM, 2013). As Iran has one of the largest gas reserves in the world, its consumption in the country can affect the worldwide price of gas, Therefore, the current research is useful both from economic and environmental point of view. ...

We introduce a new method of varying risk that bidders face in first-price and second-price private value auctions. We find that decreasing bidders’ risk in first-price auction reduces the degree of overbidding relative to the risk-neutral Bayesian-Nash equilibrium prediction. This finding is consistent with the risk-aversion explanation of overbidding. Furthermore, we apply the method to secon...

We introduce a new method of varying risk that bidders face in first-price and second-price private value auctions. We find that decreasing bidders’ risk in first-price auction reduces the degree of overbidding relative to the risk-neutral Bayesian Nash equilibrium prediction. This finding is consistent with the risk-aversion explanation of overbidding. Furthermore, we apply the method to secon...

original article   introduction: a practical solution which is sometimes efficient for noise control in the receiver locations is to enclose workers in an acoustic cabin. accordingly, prediction of the noise insulation performance is regarded as an important aspect of the design a personnel cabin. this study empirically aims to design an acoustic cabin using sandwich panels in a typical metal i...