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Model of Capacity D...
Model of Capacity Demand under uncertain Weather
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- Wallnerström, Carl Johan, 1980- (författare)
- KTH,Elektroteknisk teori och konstruktion,RCAM,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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- Setreus, Johan, 1980- (författare)
- KTH,Elektroteknisk teori och konstruktion,RCAM,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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- Hilber, Patrik (författare)
- KTH,Skolan för elektro- och systemteknik (EES),RCAM,Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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Tong, Fan (författare)
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- Bertling, Lina (författare)
- Chalmers,Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- ISBN 9781424457236
- IEEE, 2010
- 2010
- Engelska.
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Ingår i: Proceedings IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). - : IEEE. - 9781424457236 ; , s. 314-318
- Relaterad länk:
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https://kth.diva-por... (primary) (Raw object)
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http://dx.doi.org/10...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- Load forecasting is important in the operation of power systems. The characteristics of the electrical energy consumption are analyzed and its variation as an effect of several weather parameters is studied. Based on historical weather and consumption data received from a distribution system operator (DSO), numerical models of load forecasting are suggested according to electrical power consumption and on daily peak power respectively. Two linear regression models are presented: simple linear regression (SLR) with one input variable (temperature) and multiple linear regressions (MLR) with several input variables. The models are validated with historical data from other years. For daily peak power demand a MLR model has the lowest error, but for prediction of energy demand a SLR model is more accurate.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- climate
- component
- electrical distribution systems
- energy consumtion
- linear regression
- load Forecasting
- risk management
- weather vulnerability
- Electric power engineering
- Elkraftteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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