Urban energy systems are undergoing significant changes. These changes influences energy demand profiles. Optimal design and operation of the energy system requires forecasts of energy demand. The objective of this research is to forecast energy (electricity, gas, heating and cooling) demand in high spatial and temporal resolution, for optimal planning and operation of urban energy systems.
Urban energy systems are undergoing significant changes. The emergence of domestic low and zero carbon technologies and strategies, such as micro-generation and demand side management programs, change the nature of consumers from passive users to active participants in the energy systems. The transitions in energy systems change energy demand profiles as seen from the system operator’s perspective. Changes in the demand profile impose new challenges to system operators to optimally design and operate the energy system.
The objective of this research is to forecast energy (electricity, gas, heat) demand in high spatial and temporal resolution for urban energy systems. We aim to analyze the energy demand of current urban energy systems, provide accurate forecasts of energy demand in for future urban energy systems, in different aggregation levels (from individual consumer to dwelling, building, neighborhood and city level), and investigate how different technologies and strategies will affect the energy demand. We aim to indicate consumers’ energy service demand, and include information on consumer behavior in the demand profiles.