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A real-time price (RTP)-based automatic demand response (ADR) strategy for PV-assisted electric vehicle (EV) Charging Station (PVCS) without vehicle to grid is proposed. The charging process is modeled as a dynamic linear program instead of the normal day-ahead and real-time regulation strategy, to capture the advantages of both global and real-time optimization. Different from conventional price...
Currently, a large number of clustering algorithms are available for data mining. But it will be difficult for people who to a large extent know little about data mining to select an appropriate clustering algorithm. In order to solve this problem, in this paper, we first comprehensively analyze a number of clustering algorithms, then summarize their evaluation criteria and apply the so-called fuzzy...
Because fuzzy control rules play an important part in determining the quality of a fuzzy controller, when the fuzzy control rules are extracted, the problem about how to get rid of the unreasonable or incompatible rules should be considered, when it is in the field where people is inexperienced. To better the quality of the fuzzy controller, a method of revising the rule which is incompatible with...
In this paper, a distributed data mining tool that suitable for distributed and isomeric database environment of intelligent control system by borrowing ideas from architecture of grid is introduced. It can also perform incremental data mining based on history mining result. This tool makes full use of metadata of each kind of resources. The resources associated in the data mining are all packed into...
Due to the nonlinear and time-variant characteristics of a complicate industrial process, modern industrial control engineers are more likely to adopt fuzzy control method. In a fuzzy controller, its core is a group of fuzzy control rules. This paper presents some data mining methods to generate the language variables on which fuzzy control rules' generation depends. These methods are incremental...
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