Cloud-based load prediction system for smart grids

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The project will help Alphacor open new markets and attract more companies to use its metering devices. Companies benefiting from this new service will attract more customers and potentially increase employment as a result. The objective of this project is to implement a visualization and prediction model for this data in order to add value for customers and clients using Alphacor's smart meters and use the data captured to do predictive analytics. The research will explore making use of machine learning algorithms to provide prediction for future power consumption and advanced features such as security of the grid from unwanted attacks. Power generation in Ontario and around the world is going towards a free-market platform. This means that power providers will be able to bid on the power that is needed. When demand is high, the cost of power goes up and the utility companies ensure that the power needed is supplied to the grid by providing higher price for each kilowatt of power supplied at critical times. For suppliers, it is advantageous to have a prediction of this power surge in order to optimize delivery of power at the right time. In order to predict and analyze power costs, however, the power grid needs to be "smart" by installing meters capable of recording the power consumption in real time. Alphacor Sustainability Solutions is a Canadian company engaged in design, manufacturing and implementation of power meters for smart grids. The company is now looking for integrating their smart-meters with a software solution where potential vendors can view their devices and the power they are consuming in real time and make decisions accordingly.