Igor Sartori
Biographic Data
| ID | 6562814 |
|---|---|
| NAME | Igor Sartori |
| GIVEN NAMES | Igor |
| FAMILY NAME | Sartori |
| SIGNATURE | SARTORI I |
| AFFILIATIONS | SINTEF |
| ORCID | 0000-0002-5537-0020 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Modelling electric and heat load profiles of non-residential buildings for use in long-term aggregate load forecasts
Long-term forecasts of the aggregate electric load profile are crucial for grid investment decisions and energy system planning. With current developments in energy efficiency of new and renovated buildings, and the coupling of heating and electricity demand through heat pumps, the long-term load forecast cannot be based on its historic pattern anymore. This paper presents part of an on-going work aimed at improving forecasts of the electric load…
Energy renovation rates in the Netherlands – comparing long and short term prediction methods
The building sector plays a major role in order to meet the energy saving targets set in the EU and the Netherlands (SER, 2013; ürge-Vorsatz et al., 2007). Existing buildings are responsible for 36% of the CO2 emissions in the European Union (EU) (European Commission, 2008 and 2014). Moreover, among the end use sectors – industry, transport, households, services, fishing, agriculture, forestry and non-specified – households represent one of the m…
No prominent works on this page.
Energy renovation rates in the Netherlands – comparing long and short term prediction methods
The building sector plays a major role in order to meet the energy saving targets set in the EU and the Netherlands (SER, 2013; ürge-Vorsatz et al., 2007). Existing buildings are responsible for 36% of the CO2 emissions in the European Union (EU) (European Commission, 2008 and 2014). Moreover, among the end use sectors – industry, transport, households, services, fishing, agriculture, forestry and non-specified – households represent one of the m…
Modelling electric and heat load profiles of non-residential buildings for use in long-term aggregate load forecasts
Long-term forecasts of the aggregate electric load profile are crucial for grid investment decisions and energy system planning. With current developments in energy efficiency of new and renovated buildings, and the coupling of heating and electricity demand through heat pumps, the long-term load forecast cannot be based on its historic pattern anymore. This paper presents part of an on-going work aimed at improving forecasts of the electric load…
Engineering (2 works) · Environmental Science (2 works) · Aggregate (composite (1 work) · Building Energy and Comfort Optimization (1 work) · Business (1 work) · Civil engineering (1 work) · Computer Science (1 work) · Demolition (1 work) · Directive (1 work) · Economic policy (1 work)