Energy Sustainability in the Usumacinta River: An Energy Management System for a Microgrid in Boca del Cerro, Tabasco.
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| Title: | Energy Sustainability in the Usumacinta River: An Energy Management System for a Microgrid in Boca del Cerro, Tabasco. |
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| Authors: | Sosa, David Abraham Uribe1 (AUTHOR), Rivera, Víctor Manuel Ramírez1,2 (AUTHOR), Pinto, Víctor Darío Cuervo2,3 (AUTHOR), Córdoba, Diego Langarica1,3 (AUTHOR) |
| Source: | Energies (19961073). May2026, Vol. 19 Issue 10, p2390. 23p. |
| Subject Terms: | *Microgrids, *Renewable energy source management, *Energy industry forecasting, *Photovoltaic power systems, *Hydraulic turbines, *Clean energy, *Recurrent neural networks, *Fuzzy control systems |
| Geographic Terms: | Mexico, Tabasco (Mexico : State) |
| Abstract: | The growing energy demand in rural areas such as the ejido Boca del Cerro, located in Tenosique, Tabasco (Mexico), near the Usumacinta River, calls for sustainable energy solutions such as microgrids. This study proposes an energy management system combining renewable energy forecasting and fuzzy control for a simulated small autonomous rural microgrid scenario designed to supply a fixed priority load of 5 kW and a variable flexible load ranging from 1 to 10 kW. Three LSTM architectures (vanilla, stacked, and bidirectional) are compared for predicting solar irradiance, wind speed, and river flow. The vanilla model is optimized using Hyperband to improve prediction accuracy, particularly for flow rate, which is rarely addressed in similar studies. Forecasts feed into models of photovoltaic, wind, and hydro systems within the microgrid. Energy dispatch is managed through fuzzy logic control. The fuzzy controller supports load prioritization, battery charge/discharge management, and surplus energy redirection to an absorbing load. The final vanilla LSTM achieved RMSE values of 25.741, 0.302, and 12.644 for solar irradiance, wind speed, and river flow, respectively, with NSE values above 0.949 in all cases. These results indicate high forecasting accuracy for solar irradiance and river flow, with limited improvement for wind speed. Overall, the proposed EMS enables effective energy flow management, while the integration of hydrokinetic turbines with AI-based forecasting represents a novel contribution. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194141505 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Energy Sustainability in the Usumacinta River: An Energy Management System for a Microgrid in Boca del Cerro, Tabasco. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sosa%2C+David+Abraham+Uribe%22">Sosa, David Abraham Uribe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rivera%2C+Víctor+Manuel+Ramírez%22">Rivera, Víctor Manuel Ramírez</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pinto%2C+Víctor+Darío+Cuervo%22">Pinto, Víctor Darío Cuervo</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Córdoba%2C+Diego+Langarica%22">Córdoba, Diego Langarica</searchLink><relatesTo>1,3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2390. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+source+management%22">Renewable energy source management</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+industry+forecasting%22">Energy industry forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Hydraulic+turbines%22">Hydraulic turbines</searchLink><br />*<searchLink fieldCode="DE" term="%22Clean+energy%22">Clean energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Recurrent+neural+networks%22">Recurrent neural networks</searchLink><br />*<searchLink fieldCode="DE" term="%22Fuzzy+control+systems%22">Fuzzy control systems</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Mexico%22">Mexico</searchLink><br /><searchLink fieldCode="DE" term="%22Tabasco+%28Mexico+%3A+State%29%22">Tabasco (Mexico : State)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The growing energy demand in rural areas such as the ejido Boca del Cerro, located in Tenosique, Tabasco (Mexico), near the Usumacinta River, calls for sustainable energy solutions such as microgrids. This study proposes an energy management system combining renewable energy forecasting and fuzzy control for a simulated small autonomous rural microgrid scenario designed to supply a fixed priority load of 5 kW and a variable flexible load ranging from 1 to 10 kW. Three LSTM architectures (vanilla, stacked, and bidirectional) are compared for predicting solar irradiance, wind speed, and river flow. The vanilla model is optimized using Hyperband to improve prediction accuracy, particularly for flow rate, which is rarely addressed in similar studies. Forecasts feed into models of photovoltaic, wind, and hydro systems within the microgrid. Energy dispatch is managed through fuzzy logic control. The fuzzy controller supports load prioritization, battery charge/discharge management, and surplus energy redirection to an absorbing load. The final vanilla LSTM achieved RMSE values of 25.741, 0.302, and 12.644 for solar irradiance, wind speed, and river flow, respectively, with NSE values above 0.949 in all cases. These results indicate high forecasting accuracy for solar irradiance and river flow, with limited improvement for wind speed. Overall, the proposed EMS enables effective energy flow management, while the integration of hydrokinetic turbines with AI-based forecasting represents a novel contribution. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194141505 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19102390 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 2390 Subjects: – SubjectFull: Microgrids Type: general – SubjectFull: Renewable energy source management Type: general – SubjectFull: Energy industry forecasting Type: general – SubjectFull: Photovoltaic power systems Type: general – SubjectFull: Hydraulic turbines Type: general – SubjectFull: Clean energy Type: general – SubjectFull: Recurrent neural networks Type: general – SubjectFull: Fuzzy control systems Type: general – SubjectFull: Mexico Type: general – SubjectFull: Tabasco (Mexico : State) Type: general Titles: – TitleFull: Energy Sustainability in the Usumacinta River: An Energy Management System for a Microgrid in Boca del Cerro, Tabasco. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sosa, David Abraham Uribe – PersonEntity: Name: NameFull: Rivera, Víctor Manuel Ramírez – PersonEntity: Name: NameFull: Pinto, Víctor Darío Cuervo – PersonEntity: Name: NameFull: Córdoba, Diego Langarica IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 10 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |
