Constrained Generation Bids in Local Electricity Markets: A Semantic Approach

The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of...
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Autor*in:	Gabriel Santos [verfasserIn] Pedro Faria [verfasserIn] Zita Vale [verfasserIn] Tiago Pinto [verfasserIn] Juan M. Corchado [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	constrained bid local electricity market semantic rules semantic web technologies

Übergeordnetes Werk:	In: Energies - MDPI AG, 2008, 13(2020), 15, p 3990
Übergeordnetes Werk:	volume:13 ; year:2020 ; number:15, p 3990

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/en13153990

Katalog-ID:	DOAJ029917298

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spelling	10.3390/en13153990 doi (DE-627)DOAJ029917298 (DE-599)DOAJf79fa5e77c5e4cc79c2c0f85e1dcba06 DE-627 ger DE-627 rakwb eng Gabriel Santos verfasserin aut Constrained Generation Bids in Local Electricity Markets: A Semantic Approach 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering the special needs of local energy communities. The proposed approach considers constrained bids that can increase the effectiveness of distributed generation use. The proposed method takes advantage of semantic web technologies, in order to provide models with the required dynamism to overcome the issues related to the constant changes in data and business models. Using such techniques allows the system to be agnostic to the data model and business rules. The proposed solution includes the proposed constraints, application ontology, and semantic rule templates. The paper includes a case study based on real data that illustrates the advantages of using the proposed solution in a community with 27 consumers. constrained bid local electricity market semantic rules semantic web technologies Technology T Pedro Faria verfasserin aut Zita Vale verfasserin aut Tiago Pinto verfasserin aut Juan M. Corchado verfasserin aut In Energies MDPI AG, 2008 13(2020), 15, p 3990 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:13 year:2020 number:15, p 3990 https://doi.org/10.3390/en13153990 kostenfrei https://doaj.org/article/f79fa5e77c5e4cc79c2c0f85e1dcba06 kostenfrei https://www.mdpi.com/1996-1073/13/15/3990 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 15, p 3990
allfields_unstemmed	10.3390/en13153990 doi (DE-627)DOAJ029917298 (DE-599)DOAJf79fa5e77c5e4cc79c2c0f85e1dcba06 DE-627 ger DE-627 rakwb eng Gabriel Santos verfasserin aut Constrained Generation Bids in Local Electricity Markets: A Semantic Approach 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering the special needs of local energy communities. The proposed approach considers constrained bids that can increase the effectiveness of distributed generation use. The proposed method takes advantage of semantic web technologies, in order to provide models with the required dynamism to overcome the issues related to the constant changes in data and business models. Using such techniques allows the system to be agnostic to the data model and business rules. The proposed solution includes the proposed constraints, application ontology, and semantic rule templates. The paper includes a case study based on real data that illustrates the advantages of using the proposed solution in a community with 27 consumers. constrained bid local electricity market semantic rules semantic web technologies Technology T Pedro Faria verfasserin aut Zita Vale verfasserin aut Tiago Pinto verfasserin aut Juan M. Corchado verfasserin aut In Energies MDPI AG, 2008 13(2020), 15, p 3990 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:13 year:2020 number:15, p 3990 https://doi.org/10.3390/en13153990 kostenfrei https://doaj.org/article/f79fa5e77c5e4cc79c2c0f85e1dcba06 kostenfrei https://www.mdpi.com/1996-1073/13/15/3990 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 15, p 3990
allfieldsGer	10.3390/en13153990 doi (DE-627)DOAJ029917298 (DE-599)DOAJf79fa5e77c5e4cc79c2c0f85e1dcba06 DE-627 ger DE-627 rakwb eng Gabriel Santos verfasserin aut Constrained Generation Bids in Local Electricity Markets: A Semantic Approach 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering the special needs of local energy communities. The proposed approach considers constrained bids that can increase the effectiveness of distributed generation use. The proposed method takes advantage of semantic web technologies, in order to provide models with the required dynamism to overcome the issues related to the constant changes in data and business models. Using such techniques allows the system to be agnostic to the data model and business rules. The proposed solution includes the proposed constraints, application ontology, and semantic rule templates. The paper includes a case study based on real data that illustrates the advantages of using the proposed solution in a community with 27 consumers. constrained bid local electricity market semantic rules semantic web technologies Technology T Pedro Faria verfasserin aut Zita Vale verfasserin aut Tiago Pinto verfasserin aut Juan M. Corchado verfasserin aut In Energies MDPI AG, 2008 13(2020), 15, p 3990 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:13 year:2020 number:15, p 3990 https://doi.org/10.3390/en13153990 kostenfrei https://doaj.org/article/f79fa5e77c5e4cc79c2c0f85e1dcba06 kostenfrei https://www.mdpi.com/1996-1073/13/15/3990 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 15, p 3990
allfieldsSound	10.3390/en13153990 doi (DE-627)DOAJ029917298 (DE-599)DOAJf79fa5e77c5e4cc79c2c0f85e1dcba06 DE-627 ger DE-627 rakwb eng Gabriel Santos verfasserin aut Constrained Generation Bids in Local Electricity Markets: A Semantic Approach 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering the special needs of local energy communities. The proposed approach considers constrained bids that can increase the effectiveness of distributed generation use. The proposed method takes advantage of semantic web technologies, in order to provide models with the required dynamism to overcome the issues related to the constant changes in data and business models. Using such techniques allows the system to be agnostic to the data model and business rules. The proposed solution includes the proposed constraints, application ontology, and semantic rule templates. The paper includes a case study based on real data that illustrates the advantages of using the proposed solution in a community with 27 consumers. constrained bid local electricity market semantic rules semantic web technologies Technology T Pedro Faria verfasserin aut Zita Vale verfasserin aut Tiago Pinto verfasserin aut Juan M. Corchado verfasserin aut In Energies MDPI AG, 2008 13(2020), 15, p 3990 (DE-627)572083742 (DE-600)2437446-5 19961073 nnns volume:13 year:2020 number:15, p 3990 https://doi.org/10.3390/en13153990 kostenfrei https://doaj.org/article/f79fa5e77c5e4cc79c2c0f85e1dcba06 kostenfrei https://www.mdpi.com/1996-1073/13/15/3990 kostenfrei https://doaj.org/toc/1996-1073 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2020 15, p 3990
language	English
source	In Energies 13(2020), 15, p 3990 volume:13 year:2020 number:15, p 3990
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authorswithroles_txt_mv	Gabriel Santos @@aut@@ Pedro Faria @@aut@@ Zita Vale @@aut@@ Tiago Pinto @@aut@@ Juan M. Corchado @@aut@@
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author	Gabriel Santos
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topic_title	Constrained Generation Bids in Local Electricity Markets: A Semantic Approach constrained bid local electricity market semantic rules semantic web technologies
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title	Constrained Generation Bids in Local Electricity Markets: A Semantic Approach
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title_auth	Constrained Generation Bids in Local Electricity Markets: A Semantic Approach
abstract	The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering the special needs of local energy communities. The proposed approach considers constrained bids that can increase the effectiveness of distributed generation use. The proposed method takes advantage of semantic web technologies, in order to provide models with the required dynamism to overcome the issues related to the constant changes in data and business models. Using such techniques allows the system to be agnostic to the data model and business rules. The proposed solution includes the proposed constraints, application ontology, and semantic rule templates. The paper includes a case study based on real data that illustrates the advantages of using the proposed solution in a community with 27 consumers.
abstractGer	The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering the special needs of local energy communities. The proposed approach considers constrained bids that can increase the effectiveness of distributed generation use. The proposed method takes advantage of semantic web technologies, in order to provide models with the required dynamism to overcome the issues related to the constant changes in data and business models. Using such techniques allows the system to be agnostic to the data model and business rules. The proposed solution includes the proposed constraints, application ontology, and semantic rule templates. The paper includes a case study based on real data that illustrates the advantages of using the proposed solution in a community with 27 consumers.
abstract_unstemmed	The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering the special needs of local energy communities. The proposed approach considers constrained bids that can increase the effectiveness of distributed generation use. The proposed method takes advantage of semantic web technologies, in order to provide models with the required dynamism to overcome the issues related to the constant changes in data and business models. Using such techniques allows the system to be agnostic to the data model and business rules. The proposed solution includes the proposed constraints, application ontology, and semantic rule templates. The paper includes a case study based on real data that illustrates the advantages of using the proposed solution in a community with 27 consumers.
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title_short	Constrained Generation Bids in Local Electricity Markets: A Semantic Approach
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