About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit
Boolean: (bicycle AND helmet) OR (head AND protection) (always group AND in parenthesis)
Title: title:(climate change)
Author: author:("bohr niels" OR "bohr n") (avoid only full first name)
Phrase: "water pump control" (does not work with wildcards)
Wildcards: wom?n pharm*

More help on how to search

Flexible matching

About search syntax

Search syntax Advanced
Close advanced
{{problem}}
By field Using AND/OR By author
This tool can help you build boolean queries suitable for doing a broad search for different synonyms or spellings of each word. Start via the drop-down below or just start typing in the search field.
{{ row.typeTitle }}: ( )

Since our index often lack the full first name of people it can be difficult to correctly search by author.

Fill in the fields and let us help you build a good query:

If you need to find everything possible, consider only searching by last name.

Use "Starting year" to ignore publications out of year range.

More...

Journal article

Long-term electricity load forecasting: Current and future trends

In Utilities Policy — 2019, Volume 58, pp. 102-119

By Lindberg, K. B.1,2; Seljom, P.1; Madsen, H.3,4; Fischer, D.5; Korpås, M.1

From

Norwegian University of Science and Technology1

SINTEF2

Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Department of Applied Mathematics and Computer Science, Technical University of Denmark4

Fraunhofer Institute for Solar Energy Systems5

CITIES - Centre for IT-Intelligent Energy Systems, Centers, Technical University of Denmark6

Long-term power-system planning and operation, build on expectations concerning future electricity demand and future transmission/generation capacities. This paper reviews current methodologies for forecasting long-term hourly electricity demand on an aggregate scale (regional or nationally), for 10–50 years ahead.

We discuss the challenges of these methodologies in a future energy system featuring more renewable energy sources and tighter coupling between the power sector and the building and transport sectors. Finally, we conclude with some recommendations on aspects to be taken into account regarding long-term load forecasts in a changing power system.

Language: English
Year: 2019
Pages: 102-119
ISSN: 18784356 and 09571787
Types: Journal article
DOI: 10.1016/j.jup.2019.04.001
ORCIDs: Madsen, H.
Keywords

Electricity demand Flexibility Long-term load forecasting SDG 7 - Affordable and Clean Energy

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis