Social data to enhance typical consumer energy profile estimation on a national level

International audienceSince the electrical grid creation, assessing the electricity demand is essential as we need to match the energy production/demand at all times. Load analysis is essential in improving the reliability and efficiency of the grid. Beside regular human activities, the main impact factor which explains consumption variations is the outside temperature. But there are still unpredictable variations that are mainly coming from arising social events. To build a better understanding of these variations, this work will focus on how to detect these events from social media and how to quantify their impact on residential and professional typical profiles for energy demand. 1 What is profile estimation Electricity market settlement is a challenge. On one hand, there is a need to allocate energy consumed by each customer in the portfolio of a specific actor (Balance responsible) every half hour as it is the granularity of this market. On the other hand, it is only possible to get measurements from meters every 6 months or worse for the manual reading, and every day for smart meters. There is a tool that allows projecting this 6-month energy into every halfhour within, load Profiling. More than 37 million customers are concerned in France, representing about 42% of the energy passing through the electricity network [21]. Betwee