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Trading strategies basing on both financial analysis and machine learning techniques are becoming increasingly popular due to their ability to capture micro market price movements and leverage big data. An important class of works are focusing on exploiting the structural relationships between companies for accurate stock price prediction. In this paper we develop an algorithm for learning the parameters...
During periods of power system stress, demand bidding (DB) programs encourage large electricity consumers to submit curtailment capacity bids and carry out load reduction, in return for financial rewards. In this paper, a real-time DB (RT-DB) program with applications in discrete manufacturing facilities is considered. A discrete manufacturing production model is constructed and an automated RT-DB...
By loss-allowing the two-sector profit model was extended and the strategies of international transfer pricing for multi-national corporations under centralized-decision, tariff, income tax, exchange rate and tax credit were discussed. It was discovered that the profit maximization of multi-national corporations corresponds to the transferring price at the break-even point of the branch when the income...
When complex organic matter was used as feedstock in the process of anaerobic fermentation, the rate-limiting stage generally was thought of as the first stage, namely hydrolytic stage. Hence, if feedstock was hydrolyzed before it was loaded into a digester, the efficiency of anaerobic fermentation would be improved greatly. Based on this ideal, a cellulase pre-hydrolysis of organic fraction of municipal...
Due to the flexibility and freedom of the P2P e-commerce environment, peers often make transactions with other unknown peers, the trust evaluation becomes critical. Traditionally the trust evaluation model is based on feedback mechanism, which only depends on transactions number neglecting transaction amount, etc. This may lead to the transaction risk in the new transaction. In this paper, a novel...
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