Energy balances, thermal performance, and heat stress: Disentangling occupant behaviour and weather influences in a Dutch net-zero energy neighborhood

Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale

“…4. Forecast models facilitate a better understanding of the drivers of energy demand in buildings and districts, ranging from weather effects, building occupants and the building itself [19]. These insights can then be used by relevant stakeholders including building companies and energy grid operators to improve the design or operation of both existing and newly built infrastructure, as well as to produce contingency plans for extreme (weather) events, etc.…”

“…Ambient weather conditions: these are typically highly correlated with energy demand for heating, ventilation, lighting and cooling, etc. [19]. At the same time, solar PV systems, when integrated into a building or at large proliferation levels in a distribution grid, can alter the demand curve by acting as a negative load [47].…”

Modelling electricity demand in Karachi: historical trends, determinants, and future scenarios

“…The commonly accepted definition for positive energy districts implies that, over a defined time period (typically a year), the city will generate a surplus of energy compared to its demand. Given land use constraints and the issues surrounding the build-up of transmission and distribution infrastructure, this is a challenging objective, and will require active coordination between several measures ranging from enhancements to energy efficiency [3], decarbonization of energy supply via renewables and distributed generation [4], and demand response programs [5].…”