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Solar energy is a green energy which is not only perennial but also accessible to every strata of the world. An easy way to convert solar energy into electric energy is to use Solar Photovoltaic (SPV) system. Solar panel is a power source having nonlinear internal resistance. As the intensity of light falling on the panel varies, its voltage as well as its internal resistance varies. To extract maximum...
County independent innovation ability analysis and prediction play an important role in county economic development and improve benefit of national independent innovation system. According to the county independent innovation ability data which is large scale and imbalance, this paper presented a support vector machine (SVM) model to predict county independent innovation ability. In order to improve...
In the environment of e-market, based on the Stackelberg game, the stochastic expectation model of supply chain option contract coordination with random demand, random market price and market access degree is established in this paper. As the leader, the supplier declares the optimal contract reservation costs and execution costs for maximizing his expected profit, while as the follower, the purchaser...
In this paper, an ordinal optimization based approach is proposed to solve for a good enough schedule that minimizes expected sum of storage expenses and tardiness penalties of stochastic classical job shop scheduling problem using limited computation time. The proposed approach consists of exploration and exploitation stage. The exploration stage uses a genetic algorithm to select a good candidate...
This study presents an integrated fuzzy regression, computer simulation and time series framework to estimate and predict electricity demand for seasonal and monthly changes in electricity consumption especially in developing countries such as China and Iran with non-stationary data. Furthermore, it is difficult to model uncertain behavior of energy consumption with only conventional fuzzy regression...
Optimization of cutting parameters is very important issues in manufacturing engineering. For slender bar turning operations, drum-shaped error is one of the most important product quality characteristics. In this work, an artificial neural network model was developed firstly to describe the relationship between cutting parameters and drum-shaped error in slender bar turning process. Based on the...
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