{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T08:56:34Z","timestamp":1778921794195,"version":"3.51.4"},"reference-count":39,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T00:00:00Z","timestamp":1652313600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Norte Portugal Regional Operational Programme (NORTE 2020)","award":["NORTE-01-0145-FEDER-000062"],"award-info":[{"award-number":["NORTE-01-0145-FEDER-000062"]}]},{"name":"Norte Portugal Regional Operational Programme (NORTE 2020)","award":["2021.07754.BD"],"award-info":[{"award-number":["2021.07754.BD"]}]},{"name":"Norte Portugal Regional Operational Programme (NORTE 2020)","award":["CEECIND\/01179\/2017"],"award-info":[{"award-number":["CEECIND\/01179\/2017"]}]},{"name":"European Regional Development Fund (ERDF)","award":["NORTE-01-0145-FEDER-000062"],"award-info":[{"award-number":["NORTE-01-0145-FEDER-000062"]}]},{"name":"European Regional Development Fund (ERDF)","award":["2021.07754.BD"],"award-info":[{"award-number":["2021.07754.BD"]}]},{"name":"European Regional Development Fund (ERDF)","award":["CEECIND\/01179\/2017"],"award-info":[{"award-number":["CEECIND\/01179\/2017"]}]},{"name":"Portuguese Foundation for Science and Technology (FCT)","award":["NORTE-01-0145-FEDER-000062"],"award-info":[{"award-number":["NORTE-01-0145-FEDER-000062"]}]},{"name":"Portuguese Foundation for Science and Technology (FCT)","award":["2021.07754.BD"],"award-info":[{"award-number":["2021.07754.BD"]}]},{"name":"Portuguese Foundation for Science and Technology (FCT)","award":["CEECIND\/01179\/2017"],"award-info":[{"award-number":["CEECIND\/01179\/2017"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Energies"],"abstract":"<jats:p>The use of energy sharing models in smart grids has been widely addressed in the literature. However, feasible technical solutions that can deploy these models into reality, as well as the correct use of energy forecasts are not properly addressed. This paper proposes a simple, yet viable and feasible, solution to deploy energy management systems on the end-user-side in order to enable not only energy forecasting but also a distributed discriminatory-price auction peer-to-peer energy transaction market. This work also analyses the impact of four energy forecasting models on energy transactions: a mathematical model, a support-vector machine model, an eXtreme Gradient Boosting model, and a TabNet model. To test the proposed solution and models, the system was deployed in five small offices and three residential households, achieving a maximum of energy costs reduction of 10.89% within the community, ranging from 0.24% to 57.43% for each individual agent. The results demonstrated the potential of peer-to-peer energy transactions to promote energy cost reductions and enable the validation of auction-based energy transactions and the use of energy forecasting models in today\u2019s buildings and end-users.<\/jats:p>","DOI":"10.3390\/en15103543","type":"journal-article","created":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T05:10:32Z","timestamp":1652332232000},"page":"3543","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Impact of Forecasting Models Errors in a Peer-to-Peer Energy Sharing Market"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8597-3383","authenticated-orcid":false,"given":"Luis","family":"Gomes","sequence":"first","affiliation":[{"name":"GECAD\u2014Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto, 4200-072 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5906-4744","authenticated-orcid":false,"given":"Hugo","family":"Morais","sequence":"additional","affiliation":[{"name":"INESC-ID\u2014Instituto de Engenharia de Sistemas e Computadores-Investiga\u00e7\u00e3o e Desenvolvimento, Department of Electrical and Computer Engineering, Instituto Superior T\u00e9cnico\u2014IST, Universidade de Lisboa, 1049-001 Lisboa, Portugal"}]},{"given":"Calvin","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"GECAD\u2014Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto, 4200-072 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3595-312X","authenticated-orcid":false,"given":"Eduardo","family":"Gomes","sequence":"additional","affiliation":[{"name":"INESC-ID\u2014Instituto de Engenharia de Sistemas e Computadores-Investiga\u00e7\u00e3o e Desenvolvimento, Department of Electrical and Computer Engineering, Instituto Superior T\u00e9cnico\u2014IST, Universidade de Lisboa, 1049-001 Lisboa, Portugal"},{"name":"ITI\/LARSyS\u2014Interactive Technologies Institute\/Laboratory of Robotics and Engineering Systems, Instituto Superior T\u00e9cnico\u2014IST, Universidade de Lisboa, 1049-001 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9110-8775","authenticated-orcid":false,"given":"Lucas","family":"Pereira","sequence":"additional","affiliation":[{"name":"ITI\/LARSyS\u2014Interactive Technologies Institute\/Laboratory of Robotics and Engineering Systems, Instituto Superior T\u00e9cnico\u2014IST, Universidade de Lisboa, 1049-001 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4560-9544","authenticated-orcid":false,"given":"Zita","family":"Vale","sequence":"additional","affiliation":[{"name":"GECAD\u2014Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto, 4200-072 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"116131","DOI":"10.1016\/j.apenergy.2020.116131","article-title":"Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges","volume":"282","author":"Tushar","year":"2021","journal-title":"Appl. Energy"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"111212","DOI":"10.1016\/j.enpol.2019.111212","article-title":"Regulatory challenges and opportunities for collective renewable energy prosumers in the EU","volume":"138","author":"Guilherme","year":"2020","journal-title":"Energy Policy"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"116268","DOI":"10.1016\/j.apenergy.2020.116268","article-title":"Peer-to-peer energy trading: A review of the literature","volume":"283","author":"Soto","year":"2021","journal-title":"Appl. Energy"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1016\/j.eng.2020.06.002","article-title":"State-of-the-Art Analysis and Perspectives for Peer-to-Peer Energy Trading","volume":"6","author":"Zhou","year":"2020","journal-title":"Engineering"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"100678","DOI":"10.1016\/j.esr.2021.100678","article-title":"Smart energy community: A systematic review with metanalysis","volume":"36","author":"Faria","year":"2021","journal-title":"Energy Strategy Rev."},{"key":"ref_6","unstructured":"European Parliament (2019). Directive 2019\/944 on Common Rules for the Internal Market for Electricity. Off. J. Eur. Union, 18, 125\u2013199."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"107235","DOI":"10.1016\/j.ijepes.2021.107235","article-title":"Single-unit and multi-unit auction framework for peer-to-peer transactions","volume":"133","author":"Teixeira","year":"2021","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"100418","DOI":"10.1016\/j.esr.2019.100418","article-title":"Towards transactive energy systems: An analysis on current trends","volume":"26","author":"Abrishambaf","year":"2019","journal-title":"Energy Strategy Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.ijepes.2019.01.004","article-title":"Reduction of power grid fluctuations by communication between smart devices","volume":"108","author":"Gomila","year":"2019","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/MPE.2016.2524962","article-title":"A Society of Devices: Integrating Intelligent Distributed Resources with Transactive Energy","volume":"14","author":"Kok","year":"2016","journal-title":"IEEE Power Energy Mag."},{"key":"ref_11","first-page":"186","article-title":"Local market mechanisms survey for peer-to-peer electricity trading on blockchain platform","volume":"23","author":"Oprea","year":"2020","journal-title":"Sci. Bull. Nav. Acad."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Zhang, C., Wang, Y., and Yang, T. (2020). Iterative Auction for P2P Renewable Energy Trading with Dynamic Energy Storage Management. Energies, 13.","DOI":"10.3390\/en13184963"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"117088","DOI":"10.1016\/j.apenergy.2021.117088","article-title":"An iterative uniform-price auction mechanism for peer-to-peer energy trading in a community microgrid","volume":"298","author":"Xu","year":"2021","journal-title":"Appl. Energy"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"110597","DOI":"10.1016\/j.rser.2020.110597","article-title":"Blockchain and energy: A bibliometric analysis and review","volume":"137","author":"Ante","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Matsuda, Y., Yamazaki, Y., Oki, H., Takeda, Y., Sagawa, D., and Tanaka, K. (2021). Demonstration of Blockchain Based Peer to Peer Energy Trading System with Real-Life Used PHEV and HEMS Charge Control. Energies, 14.","DOI":"10.3390\/en14227484"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Takeda, Y., Nakai, Y., Senoo, T., and Tanaka, K. (2021). Designing a User-Centric P2P Energy Trading Platform: A Case Study\u2014Higashi-Fuji Demonstration. Energies, 14.","DOI":"10.3390\/en14217289"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Yahaya, A.S., Javaid, N., Alzahrani, F.A., Rehman, A., Ullah, I., Shahid, A., and Shafiq, M. (2020). Blockchain Based Sustainable Local Energy Trading Considering Home Energy Management and Demurrage Mechanism. Sustainability, 12.","DOI":"10.3390\/su12083385"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/s11831-018-9299-7","article-title":"Game Theory Approaches for the Solution of Power System Problems: A Comprehensive Review","volume":"27","author":"Abapour","year":"2020","journal-title":"Arch. Comput. Methods Eng."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"106278","DOI":"10.1016\/j.epsr.2020.106278","article-title":"A converging non-cooperative & cooperative game theory approach for stabilizing peer-to-peer electricity trading","volume":"183","author":"Amin","year":"2020","journal-title":"Electr. Power Syst. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"107865","DOI":"10.1016\/j.ijepes.2021.107865","article-title":"A priority-based approach for peer-to-peer energy trading using cooperative game theory in local energy community","volume":"137","author":"Malik","year":"2022","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"64169","DOI":"10.1109\/ACCESS.2020.2985254","article-title":"Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading","volume":"8","author":"Gomes","year":"2020","journal-title":"IEEE Access"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"118154","DOI":"10.1016\/j.jclepro.2019.118154","article-title":"Agent-based architecture for demand side management using real-time resources\u2019 priorities and a deterministic optimization algorithm","volume":"241","author":"Gomes","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Gomes, L., and Vale, Z. (2021, January 22\u201324). Energy Predictions for System on a Chip Solutions. Proceedings of the International Workshop on Soft Computing Models in Industrial and Environmental Applications, Bilbao, Spain.","DOI":"10.1007\/978-3-030-87869-6_23"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Yan, J., Xu, T., Yu, Y., and Xu, H. (2021). Rainfall Forecast Model Based on the TabNet Model. Water, 13.","DOI":"10.3390\/w13091272"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Chen, T., and Guestrin, C. (2016, January 13\u201317). XGBoost: A Scalable Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA.","DOI":"10.1145\/2939672.2939785"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"13149","DOI":"10.1109\/ACCESS.2019.2893448","article-title":"XGBoost-Based Algorithm Interpretation and Application on Post-Fault Transient Stability Status Prediction of Power System","volume":"7","author":"Chen","year":"2019","journal-title":"IEEE Access"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"103155","DOI":"10.1016\/j.autcon.2020.103155","article-title":"XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring","volume":"114","author":"Dong","year":"2020","journal-title":"Autom. Constr."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Rajliwall, N.S., Davey, R., and Chetty, G. (2018, January 10\u201312). Cardiovascular Risk Prediction Based on XGBoost. Proceedings of the 2018 5th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), Nadi, Fiji.","DOI":"10.1109\/APWConCSE.2018.00047"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Phan, Q.-T., Wu, Y.-K., and Phan, Q.-D. (2020, January 13\u201316). A Comparative Analysis of XGBoost and Temporal Convolutional Network Models for Wind Power Forecasting. Proceedings of the 2020 International Symposium on Computer, Consumer and Control (IS3C), Taichung, Taiwan.","DOI":"10.1109\/IS3C50286.2020.00113"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Abbasi, R.A., Javaid, N., Ghuman, M.N.J., Khan, Z.A., Ur Rehman, S., and Aman, U. (2019). Short Term Load Forecasting Using XGBoost. Workshops of the International Conference on Advanced Information Networking and Applications, Springer.","DOI":"10.1007\/978-3-030-15035-8_108"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Didavi, A.B.K., Agbokpanzo, R.G., and Agbomahena, M. (2021, January 8\u201310). Comparative study of Decision Tree, Random Forest and XGBoost performance in forecasting the power output of a photovoltaic system. Proceedings of the 2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART), Paris\/Cr\u00e9teil, France.","DOI":"10.1109\/BioSMART54244.2021.9677566"},{"key":"ref_32","unstructured":"Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., and Garnett, R. (2017, January 4\u20139). Attention is All you Need. Proceedings of the 31st International Conference on Neural Information Processing Systems, Long Beach, CA, USA."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Arik, S.O., and Pfister, T. (2021, January 2\u20139). Tabnet: Attentive interpretable tabular learning. Proceedings of the 35th AAAI Conference on Artificial Intelligence, Virtual Conference.","DOI":"10.1609\/aaai.v35i8.16826"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Borghini, E., and Giannetti, C. (2021). Short Term Load Forecasting Using TabNet: A Comparative Study with Traditional State-of-the-Art Regression Models. Eng. Proc., 5.","DOI":"10.3390\/engproc2021005006"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Zhang, L., Ma, K., Yuan, F., and Fang, W. (2022, January 14\u201316). A Tabnet based Card Fraud detetion Algorithm with Feature Engineering. Proceedings of the 2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE), Guangzhou, China.","DOI":"10.1109\/ICCECE54139.2022.9712822"},{"key":"ref_36","unstructured":"Cooijmans, T., Ballas, N., Laurent, C., G\u00fcl\u00e7ehre, \u00c7., and Courville, A. (2017, January 24\u201326). Recurrent Batch Normalization. Proceedings of the 5th International Conference on Learning Representations, ICLR 2017, Toulon, France."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"110703","DOI":"10.1016\/j.jpsychores.2021.110703","article-title":"Machine learning applications to differentiate comorbid functional seizures and epilepsy from pure functional seizures","volume":"153","author":"Kashkooli","year":"2022","journal-title":"J. Psychosom. Res."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Cai, Q., and He, J. (2022, January 14\u201316). Credit Payment Fraud detection model based on TabNet and Xgboot. Proceedings of the 2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE), Guangzhou, China.","DOI":"10.1109\/ICCECE54139.2022.9712842"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Borghini, E., Giannetti, C., Flynn, J., and Todeschini, G. (2021). Data-Driven Energy Storage Scheduling to Minimise Peak Demand on Distribution Systems with PV Generation. Energies, 14.","DOI":"10.3390\/en14123453"}],"container-title":["Energies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1996-1073\/15\/10\/3543\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:09:43Z","timestamp":1760137783000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1996-1073\/15\/10\/3543"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,12]]},"references-count":39,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2022,5]]}},"alternative-id":["en15103543"],"URL":"https:\/\/doi.org\/10.3390\/en15103543","relation":{},"ISSN":["1996-1073"],"issn-type":[{"value":"1996-1073","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,12]]}}}