This letter proposes an energy-macroclimate management mechanism for rural agricultural microgrids (AMGs) and develops a prediction-free online method to address the reliance on prediction in real-time decision making. This method reformulates the AMG energy-macroclimate management model into a time-decoupled optimization problem, enabling real-time decision making based solely on the current system state, without requiring uncertainty prediction. Comparative studies validate the effectiveness and long-term performance of the proposed method.

Prediction-Free Online Energy-Macroclimate Management for Agricultural Microgrids / Hua, Z., Cao, Y., Li, C., Wang, Z., Yu, Y.i., Islam, M.M., Scala, M.L.. - In: IEEE TRANSACTIONS ON SMART GRID. - ISSN 1949-3053. - 16:6(2025), pp. 5689-5692. [10.1109/tsg.2025.3604634]

Prediction-Free Online Energy-Macroclimate Management for Agricultural Microgrids

Islam, Muhammad Muzammal
Membro del Collaboration Group
;
Scala, Massimo La
Membro del Collaboration Group
2025

Abstract

This letter proposes an energy-macroclimate management mechanism for rural agricultural microgrids (AMGs) and develops a prediction-free online method to address the reliance on prediction in real-time decision making. This method reformulates the AMG energy-macroclimate management model into a time-decoupled optimization problem, enabling real-time decision making based solely on the current system state, without requiring uncertainty prediction. Comparative studies validate the effectiveness and long-term performance of the proposed method.
2025
Prediction-Free Online Energy-Macroclimate Management for Agricultural Microgrids / Hua, Z., Cao, Y., Li, C., Wang, Z., Yu, Y.i., Islam, M.M., Scala, M.L.. - In: IEEE TRANSACTIONS ON SMART GRID. - ISSN 1949-3053. - 16:6(2025), pp. 5689-5692. [10.1109/tsg.2025.3604634]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/303085
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