Why
Climbing the causality ladder to understand and project the energy demand of the residential sector
Energy
Artificial Intelligence
https://www.why-h2020.eu/ ←Back to Research projects
Sector
Energy
Capability
Artificial Intelligence - Simulation and modelling
Research focus UD
Ecological transition
https://www.why-h2020.eu/
Financing
Goals
Energy system models (ESMs) help energy experts predict and describe long-term impacts of energy systems. While ESMs have yielded useful results on energy supply, there is a lack of accuracy in simulating the residential sector, as the diversity of dwellings produces a broad spectrum of consumption patterns. The objective of WHY is to provide greater insight into household energy consumption and improve energy demand modelling in leading ESMs.
How is it achieved?
WHY project will implement causal modelling to quantitatively analyse people’s everyday decisions regarding energy consumption, the investments they take and their reactions to different kinds of interventions by different actors. This will result in innovative methodologies based on Multi Agent Systems for short- and long-term load forecasting which will be benchmarked in different use cases ranging from microgrid size to international contexts.
What was our contribution?
Apart from being the overall coordinator of the proposal Deusto will be responsible for the development of the causal model. To carry on this task first Deusto is segmenting a large set of smart meter data contributed by several partners of the project. Then, a multidisciplinary team (following the 6i strategy from Deusto) is being assembled to model the use of energy and the investment decisions taken by households. Finally, Deusto will use the tools developed to carry on an assessment of Bilbao’s long-term decarbonization strategy.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 891943.
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