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Maomao Hu

Assistant Professor

National University of Singapore (NUS)

Singapore

Research Interests

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Articles (17)

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2026

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2026

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2023

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2023

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2023

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2023

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2023

Collaborators (11)

David Wallom

University of Oxford

UNITED KINGDOM

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Monika Hall

University of Applied Sciences and Arts Northwestern Switzerland

SWITZERLAND

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Mattheos Santamouris

University of New South Wales

AUSTRALIA

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Xiaowei Luo

Associate Professor

City University of Hong Kong

CHINA

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Rui Amaral Lopes

Assistant Professor

Universidade de Aveiro

PORTUGAL

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Jinhan Mo

Distinguished Professor

Shenzhen University

CHINA

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Doris Österreicher

University of Natural Resources and Life Sciences Vienna

AUSTRIA

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Hanmin Cai

Group leader

Empa

SWITZERLAND

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Donal P. Finn

Dublin City University

IRELAND

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Rongling Li

Technical University of Denmark

DENMARK

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Marco Pruckner

University of Wuerzburg

GERMANY

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Maomao Hu

Research Interests

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Articles (17)

A hybrid physics-based and data-driven framework for spatiotemporal prediction of urban microclimate across climate zones

Optimizing heat pump and electric vehicle flexibility through predictive home energy management systems within urban energy digital twins

Data-driven characterization of spatio-temporal correlations between AC terminals and occupied zones for zone-based control in large built environments

Microclimate-integrated urban building energy modeling (MUBEM): Spatiotemporal analysis of climate-driven energy use in Shanghai and Singapore

Double-layer multi-objective optimization for combined cooling and waste heat recovery systems in data centers

Surrogate model-based design optimization of modular façades under multifunctional scenarios

WRF-based hybrid model for high-resolution prediction of urban thermal-wind environments under present and future climate scenarios

Characterization and modeling of building dynamic thermal responses to demand response strategies using large-scale in-situ measurements

An innovative humidity Enhancement-RC-mapping model with tailored identification framework for building HVAC demand response applications

ScaleONet: Scalable and control-oriented modeling of building cluster thermal dynamics using deep operator networks — A practical case study for a Belgian district

Multi-modal ensemble deep learning model for microclimate prediction using urban morphological maps

Public sentiment analysis of data center energy consumption using social media data and large language models

Impacts of building load dispersion level on its load forecasting accuracy: Data or algorithms? Importance of reliability and interpretability in machine learning

Developing energy flexibility in clusters of buildings: A critical analysis of barriers from planning to operation

Multi-objective optimal dispatch of household flexible loads based on their real-life operating characteristics and energy-related occupant behavior

Empirical exploration of zone-by-zone energy flexibility: A non-intrusive load disaggregation approach for commercial buildings

A novel forecast-based operation strategy for residential PV-battery-flexible loads systems considering the flexibility of battery and loads

Collaborators (11)

David Wallom

Monika Hall

Mattheos Santamouris

Xiaowei Luo

Rui Amaral Lopes

Jinhan Mo

Doris Österreicher

Hanmin Cai

Donal P. Finn

Rongling Li

Marco Pruckner

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