I-Corps: Advanced Energy Data Analytics, Visualization, and Forecasting Platform for Energy Decision-Makers

这个I-Corps项目的更广泛的影响/商业潜力包括开发一个分析平台，能够为客户提供大数据分析能力，使他们能够使用基于证据的机器学习算法快速设计和测试自己的清洁能源想法，并提高他们与利益相关者沟通的能力。通过采用拟议的技术，其用户可以减少能源消耗，节省财政和物理资源，并尽量减少对环境的影响。该技术的预测功能还可以使其用户对其个人购买行为以及集体计划行动形成长期看法，并在家用电器购买，商业技术部署，以及城市和区域规划。这个I-Corps项目旨在探索能源分析平台的商业可行性，该平台结合了大型数据管理平台、电力金融模型、支持机器学习的数据驱动分析工具和3D可视化界面。该平台预装了历史数据，允许客户对他们过去的用电模式进行基准测试。历史数据还将作为可定制机器学习算法的输入，为客户提供设计符合其电力消费需求的证据驱动行动的能力和灵活性，并预测与中长期行动相关的经济，环境和社会影响。该技术的用户将能够跟踪和评估他们的电力使用和支出，以及任何相关的资本投资。该技术还将使其用户能够看到其与能源有关的行动对社会和宏观经济的影响，产生对公共卫生、创造就业机会和当地国内生产总值增长的产出。

The broader impact/commercial potential of this I-Corps project includes developing an analytical platform is capable of empowering customers with big-data analytical capacity, allow them to design and test clean energy ideas on their own terms at a fast pace using evidence-based machine-learning-enabled algorithms, and to enhance their capability to communicate with stakeholders. By adopting the proposed technology, its users could reduce energy consumption, save financial and physical resources, and minimize environmental impact. The predictive feature of the technology could also allow its users to develop a long-term view about their individual purchasing behavior as well as collective planning actions, and make financially wise and environmentally friendly decisions regarding home appliance purchases, commercial technology deployment, as well as city and regional planning.This I-Corps project aims to explore the commercial viability of an energy analytics platform that combines big-data management platforms, electricity financial models, machine-learning-enabled data-driven analytical tools, and a 3D visualization interface. The platform is pre-loaded with historical data that allows customers to benchmark their past electricity use patterns. The historical data will also serve as an input to customizable machine-learning algorithms that provide customers the power and flexibility to design evidence-driven actions that fit their electricity consumption needs and forecast the economic, environmental, and social impacts related to the actions in the mid- to long-term. Users of the technology will be able to track and assess their electricity use and expenditures, and any associated capital investments. The technology will also allow its users to see the social and macro-economic impact of their energy-related action by producing outputs on public health, job creation and local GDP growth.