Prognozowanie krótkoterminowe profili odbiorczych i zdolności wytwórczych w klastrach energii

Rafał Czapaj; Mateusz Szablicki; Piotr Rzepka; Maciej Sołtysik

doi:10.15199/48.2019.07.28

Prognozowanie krótkoterminowe profili odbiorczych i zdolności wytwórczych w klastrach energii

Translated title of the contribution: Short-term forecasting of demand and generation profiles in energy clusters

Rafał Czapaj
, Mateusz Szablicki
, Piotr Rzepka
, Maciej Sołtysik

Department of Power Systems and Control (RE/RE1)

Główny Konsultant w PSE Innowacje Sp. z o.o.

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

The development of civil power engineering at the regional and local level requires undertaking optimization activities including the implementation of the assumed objective functions. The dynamic development of energy clusters will generate the need to create forecasting tools both in terms of forecasting demand for electric power and energy, as well as in terms of optimal use of regulatory capacity of existing structures within clusters. The article discusses the results of using selected forecasting models. The data used will be mapped to actual demand profiles and generating capacities in hourly granulation for every 24 hours.

Translated title of the contribution	Short-term forecasting of demand and generation profiles in energy clusters
Original language	Polish
Pages (from-to)	137-140
Number of pages	4
Journal	Przeglad Elektrotechniczny
Volume	95
Issue number	7
DOIs	https://doi.org/10.15199/48.2019.07.28
Publication status	Published - 2019

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.15199/48.2019.07.28

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title = "Prognozowanie kr{\'o}tkoterminowe profili odbiorczych i zdolno{\'s}ci wytw{\'o}rczych w klastrach energii",

abstract = "The development of civil power engineering at the regional and local level requires undertaking optimization activities including the implementation of the assumed objective functions. The dynamic development of energy clusters will generate the need to create forecasting tools both in terms of forecasting demand for electric power and energy, as well as in terms of optimal use of regulatory capacity of existing structures within clusters. The article discusses the results of using selected forecasting models. The data used will be mapped to actual demand profiles and generating capacities in hourly granulation for every 24 hours.",

keywords = "Energy Cluster, Generating Capacities and Demand Profiles, Short-Term Forecasting, Tariff Group",

author = "Rafa{\l} Czapaj and Mateusz Szablicki and Piotr Rzepka and Maciej So{\l}tysik",

year = "2019",

doi = "10.15199/48.2019.07.28",

language = "polski",

volume = "95",

pages = "137--140",

journal = "Przeglad Elektrotechniczny",

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TY - JOUR

T1 - Prognozowanie krótkoterminowe profili odbiorczych i zdolności wytwórczych w klastrach energii

AU - Czapaj, Rafał

AU - Szablicki, Mateusz

AU - Rzepka, Piotr

AU - Sołtysik, Maciej

PY - 2019

Y1 - 2019

N2 - The development of civil power engineering at the regional and local level requires undertaking optimization activities including the implementation of the assumed objective functions. The dynamic development of energy clusters will generate the need to create forecasting tools both in terms of forecasting demand for electric power and energy, as well as in terms of optimal use of regulatory capacity of existing structures within clusters. The article discusses the results of using selected forecasting models. The data used will be mapped to actual demand profiles and generating capacities in hourly granulation for every 24 hours.

AB - The development of civil power engineering at the regional and local level requires undertaking optimization activities including the implementation of the assumed objective functions. The dynamic development of energy clusters will generate the need to create forecasting tools both in terms of forecasting demand for electric power and energy, as well as in terms of optimal use of regulatory capacity of existing structures within clusters. The article discusses the results of using selected forecasting models. The data used will be mapped to actual demand profiles and generating capacities in hourly granulation for every 24 hours.

KW - Energy Cluster

KW - Generating Capacities and Demand Profiles

KW - Short-Term Forecasting

KW - Tariff Group

UR - https://www.scopus.com/pages/publications/85069934784

U2 - 10.15199/48.2019.07.28

DO - 10.15199/48.2019.07.28

M3 - Artykuł

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SN - 0033-2097

VL - 95

SP - 137

EP - 140

JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

IS - 7

ER -

Prognozowanie krótkoterminowe profili odbiorczych i zdolności wytwórczych w klastrach energii

Abstract

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