PROJECT TITLE :

A Framework-Based Approach to Utility Big Data Analytics

ABSTRACT:

As advances in scientific and business knowledge assortment have exponentially created more data, electrical utility corporations are seeking new tools and techniques to flip the collected data into operational insights and assist with cost-saving decisions. The price of building a selected business-driven huge information application, but, can be tremendously high. This paper proposes developing a standard-based software framework to handle key utility massive information problems and foster development of huge knowledge analytical applications. Based on the support of this generic framework, new massive information analytical solutions will be rapidly engineered and deployed to boost business practices during a utility organization. The proposed framework-based mostly approach, as demonstrated in the conducted case studies, has proven to be promising for addressing the emerging huge information challenges within the utility business.