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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach

2024Expert Systems with ApplicationsJournal

10.1016/j.eswa.2024.124126 Full text72 citations

Authors

10 authors across 5 institutions in 2 countries.

Misbaudeen Aderemi AdesanyaFirst author
Hammed Obasekore
Anis Rabiu
Wook-Ho Na
Qazeem Opeyemi Ogunlowo
- Michael Okpara University of Agriculture (NG)
Timothy Denen Akpenpuun
- University of Ilorin (NG)
Min-Hwi Kim
Hyeon-Tae Kim
Bo-Yeong Kang
Hyun-Woo LeeSenior authorCorresponding

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Greenhouse Technology and Climate Controllevel 3 · 1.00
Building Energy and Comfort Optimizationlevel 3 · 0.99
Photovoltaic System Optimization Techniqueslevel 3 · 0.98

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2024 · Expert Systems with Applications · 72 citations
https://openalex.org/W4395956864

Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach · Sankore