Reference number : GC-2017-Q1-00559, amendment number : , agreement type : G, recipient legal name : Bouguessa, Mohamed (Université du Québec à Montréal), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Engage Plus Grants for Universities, program name french : Subvention d'engagement partenarial Plus pour les universités, program purpose english : The advent of information technology and electronic have facilitated the recording process of energy_x000D_
consumption of costumers using smart meters. The recorded information can be explored to figure out relevant_x000D_
insights. However, digging into this data pose a serious problem in the sense we have tremendous amount of_x000D_
costumers, which present various behaviour at different time point. Motivated by the need of effective software_x000D_
for analyzing energy-related big data, SAP Canada Inc. ("SAP"), is developing SAP Energy Analysis, a new_x000D_
generation of real time business intelligence software for energy-related issues. SAP Energy Analysis offers a_x000D_
set of tools to run the data collected from smart meters and any other monitoring systems into actionable_x000D_
insights. Specifically, SAP Energy Analysis provides tools to manage the cost effectiveness of energy_x000D_
production and consumption in the form of interactive dashboard, personalized report, real time business_x000D_
activity monitoring, prescriptive analysis, and more. By effectively analysing customers' consumption data_x000D_
using SAP Energy Analysis, it becomes possible to monitor the energy production and consumption and, thus,_x000D_
allow better load balance, load matching and load scheduling through improving energy efficiencies and_x000D_
management practices. To this end, the company wants to increase SAP Energy Analysis software capabilities_x000D_
to fully harness the potential of the collected data. To achieve this goal, the proposed project aims to investigate_x000D_
advanced data mining algorithms in order to extract, from the collected data, useful patterns of actions that_x000D_
offer insight to track customers' consumption over different time stamps and develop an automatic tool to_x000D_
instantly aggregate and analyze customers' energy consumption profiles by any dimension or level of_x000D_
granularity as well as predicting future consumption trends which in turn permits efficient energy use., program purpose french : The advent of information technology and electronic have facilitated the recording process of energy_x000D_
consumption of costumers using smart meters. The recorded information can be explored to figure out relevant_x000D_
insights. However, digging into this data pose a serious problem in the sense we have tremendous amount of_x000D_
costumers, which present various behaviour at different time point. Motivated by the need of effective software_x000D_
for analyzing energy-related big data, SAP Canada Inc. ("SAP"), is developing SAP Energy Analysis, a new_x000D_
generation of real time business intelligence software for energy-related issues. SAP Energy Analysis offers a_x000D_
set of tools to run the data collected from smart meters and any other monitoring systems into actionable_x000D_
insights. Specifically, SAP Energy Analysis provides tools to manage the cost effectiveness of energy_x000D_
production and consumption in the form of interactive dashboard, personalized report, real time business_x000D_
activity monitoring, prescriptive analysis, and more. By effectively analysing customers' consumption data_x000D_
using SAP Energy Analysis, it becomes possible to monitor the energy production and consumption and, thus,_x000D_
allow better load balance, load matching and load scheduling through improving energy efficiencies and_x000D_
management practices. To this end, the company wants to increase SAP Energy Analysis software capabilities_x000D_
to fully harness the potential of the collected data. To achieve this goal, the proposed project aims to investigate_x000D_
advanced data mining algorithms in order to extract, from the collected data, useful patterns of actions that_x000D_
offer insight to track customers' consumption over different time stamps and develop an automatic tool to_x000D_
instantly aggregate and analyze customers' energy consumption profiles by any dimension or level of_x000D_
granularity as well as predicting future consumption trends which in turn permits efficient energy use., agreement title english : Data Mining for Energy Analysis, agreement title french : Data Mining for Energy Analysis, agreement number : EGP2, agreement value : 12500.0, agreement start date : 2017-06-14, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada