One of the most useful pieces of information for energy retailers is to know the demand of the consumers as exactly as possible as it helps to better optimize the purchase of energy, reducing deviations, risk and therefore penalties. In addition, it enables to secure futures in a more accurate way and thus fitting tariffs for the customers. Precisely knowing the demand of consumers is also necessary to be able to set the margin in the electricity rates. Finally, the financial impact is important when making purchases more tightly without expending unnecessary resources.
Goiener is a non-profit citizen energy cooperative established in 2012 located in the Basque Country, in the north of Spain. Its main activity is to promote, build and purchase the distributed, local and decentralized renewable energy. Currently, there are 51 staff members, 14538 partners and 200 volunteers engaged with Goiener.
With the use of WHY Toolkit Goiener will be able to perform better estimations and demand forecast by taking into consideration not only climatic factors but other non-climatic factors that are difficult to simulate on a massive level. The main goal of this Use Case is to use the WHY-Toolkit to simulate the behaviour of the residential consumers in order to obtain a deeper understanding of their load profile and its response to changes in external conditions. One such key condition is the electric tariff. It is also one of the most powerful interventions that an energy cooperative can do to modify the behaviour of their partners.