Now, all business organizations are adopting datadriven strategies to generate more profits out of their business. Growing startups are investing a lot of funds in data economy to maximize profits of the business group by developing intelligent tools backed by machine learning and artificial intelligence. The nature of business intelligence (BI) tool depends on factors like business goals, size, model, technology, etc. In this paper, the architecture of BI tool and decision process has been discussed with a focus on market segmentation, based on user behavior geographical distributions. Principal Component Analysis (PCA) followed by k-mode clustering algorithm has been used for segmentation. The proposed toolkit also incorporates interactive visualizations and maps.
Renewable energy resources have enormous potential and can meet the present world energy need. One of the most promising renewable energy technologies is photovoltaic technology. This article presents an overview on the development and application aspects for the hybrid photovoltaic/thermal (PVT) collector systems since last 30 yr. Different types of solar thermal collector and new materials for PV cells have been developed for efficient solar energy utilization. The review covers detailed description and thermal model of hybrid photovoltaic thermal systems, using air as the working fluid. Numerical model analysis and qualitative evaluation of thermal and electrical output in terms of an overall thermal energy and exergy for various silicon and non-silicon based modules have been carried out. Based on the thorough review, it is clear that PVT modules are very promising devices and future work should be carried out to improve efficiency aiming towards global expansion and utilization of environment friendly renewable energy devices.
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