Titlebook: Advanced Information Networking and Applications; Proceedings of the 3 Leonard Barolli,Makoto Takizawa,Tomoya Enokido Conference proceeding

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2194-5357 Information Networking and Applications held in Matsue, Jap.The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applic

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https://doi.org/10.1007/978-3-663-07141-9tures of the transactional data. Jumps based on Gaussian jump diffusion process using normal distribution are added to the Wiener processes to make the estimation easy. The paper uses Particle Swarm Optimization (PSO) to estimate the jump diffusion parameters in the proposed model.

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Verwertung von Analysenergebnissen,ector Machine (SVM) set tuned with three super parameters, i.e., kernel parameter, cost penalty, and incentive loss function parameter. Electricity market data is used in our proposed model. Weekly and months ahead forecasting experiments are conducted by proposed model. Forecasting performance is a

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https://doi.org/10.1007/978-3-663-08287-3t of research has been done on energy management system (EMS) for scheduling the appliances. In this work, an efficient EMS is proposed for controlling the load in residential units. Meta-heuristic algorithms have been used for the optimization of the user energy consumption schedules in an efficien

growth-factor

https://doi.org/10.1007/978-3-663-08288-0 used time of use (ToU) and critical peak price (CPP). The result depicts that successful achievement of load shifting from higher price time slot to lower price time slot, which basically bring out the reduction in electricity bills.

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