To increase the energy utilization efficiency, it becomes fairly promising to convert surplus electricity from renewable generation other forms of for multi-dimensional consumption. In this paper, we propose a hybrid scheduling model multi-energy microgrid with integration hydrogen storage system (HESS) and heat (HSS). our study, operational uncertainties induced by renewables loads (including ...

Radio frequency identification (RFID) has been widely used in supporting the logistics management on manufacturing shopfloors where production resources attached with RFID facilities are converted into smart manufacturing objects (SMOs) which are able to sense, interact, and reason to create a ubiquitous environment. Within such environment, enormous data could be collected and used for support...

Earth System Science (ESS) research and applications often involve in collecting, analyzing and modeling with distributed heterogeneous geospatial data. Those data are processed step-by-step in geospatial analysis systems to extract information and knowledge products for applications and decision makings. Conceptually, such a step-by-step process forms a geospatial processing model that represe...

During the past decade, data warehousing has been widely adopted in the business community. It provides multi-dimensional analyses on cumulated historical business data for helping contemporary administrative decision-makings. Nevertheless, it is believed there is only about 20% information can be extracted from data warehouses concerning numeric data only, the other 80% information is hidden i...

Many recent investigations of Computational Decision Theory focused on the problem of making decisions in presence of more than one single criterion. The so called multiple criteria decision theory, in particular, deals with such problems, in depth. In general these investigations tend to be specifically quantitative, and withal in those approaches that look at purely qualitative models, the so...

Partially Observable Markov Decision Processes (POMDP) provide a nice mathematical framework for sequential decision making in partially observable stochastic environments. While it is generally assumed that the POMDP model is known, this is rarely the case in practice, as the parameters of the model must be finely tuned to reflect the reality as close as possible. Hence it is of crucial import...

Urban flooding is a major problem in many coastal cities. The rapidly shifting patterns of land use and demographic increase are making conventional approaches to stormwater management fail. In developing countries such as Ecuador, lack monitoring, financial constraints absence proper policies exacerbate problems. This work assesses the implementation two Low Impact Development strategies (LIDs...