Shohei Miyata

University of Tokyo

H指数:15

被引数:1,063

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Review on dynamic HVAC modeling for smart buildings: Advancing fault detection and diagnosis, control optimization, and demand-side energy flexibility

智能建筑中动态暖通空调建模的综述：推进故障检测与诊断、控制优化和需求侧能源灵活性

Journal of Building Engineering

IF7.4

2026-09-010

OAAI

Configuration-aware representation for generalizable indoor airflow field surrogates under ceiling fan reconfiguration

天花板风扇重新配置下适用于泛化室内气流场代理的配置感知表示

Building and Environment

IF7.6

2026-08-240

PRE

Development of an LSTM-Based Model for High-Resolution Downsampling and Reconstruction of HVAC Chiller Flow Data

基于LSTM模型的高分辨率HVAC冷水机组流量数据降采样与重构开发

ENERGY INFORMATICS, EIA NORDIC 2025, PT II

IF0

2026-01-010

PRE

A Dynamic Semantic Data Modeling Approach: Application to Flexible HVAC Zones

动态语义数据建模方法：在柔性暖通空调分区中的应用

ENERGY INFORMATICS, EIA NORDIC 2025, PT II

IF0

2026-01-010

PRE

Data-Driven Optimal Air-Balancing Control for Multizone Ventilation Systems with Design-to-Operation Adaptation

基于设计-运行自适应的数据驱动最优空气平衡控制用于多区域通风系统

ENERGY INFORMATICS, EIA NORDIC 2025, PT II

IF0

2026-01-010

PRE

A hybrid multi-agent distributed optimal control strategy of multizone VAV systems for edge computing in smart buildings

适用于智能建筑边缘计算的分区VAV系统混合多智能体分布式最优控制策略

Energy and Buildings

IF7.1

2025-07-010

Year-round operational optimization of HVAC systems using hierarchical deep reinforcement learning for enhancing indoor air quality and reducing energy consumption

采用分层深度强化学习进行暖通空调系统的全年运行优化，以提升室内空气质量并降低能耗

APPLIED ENERGY

IF11

2025-07-010

PRE

Event-driven model-based optimal demand-controlled ventilation for multizone VAV systems: Enhancing energy efficiency and indoor environmental quality

APPLIED ENERGY

IF11

2025-01-010

OAAI

Design-operation gap caused by parameter variance in HVAC system control sequences: A simulation-based study on energy efficiency and temperature controllability

JOURNAL OF BUILDING ENGINEERING

IF7.4

2024-06-011

PRE

Model-based optimal control strategy for multizone VAV air-conditioning systems for neutralizing room pressure and minimizing fan energy consumption

多区域变风量空调系统基于模型的最优控制策略，用于中和房间压力并最小化风扇能耗

BUILDING AND ENVIRONMENT

IF7.6

2024-05-014

PRE

Exploring the spatial distribution for efficient sewage heat utilization in urban areas using the urban sewage state prediction model

APPLIED ENERGY

IF11

2024-04-016

PRE

Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system

ENERGY

IF9.4

2024-03-0114

PRE

Interpretable deep learning for hourly solar radiation prediction: A real measured data case study in Tokyo

JOURNAL OF BUILDING ENGINEERING

IF7.4

2023-11-014

PRE

Automated fault detection and diagnosis of chiller water plants based on convolutional neural network and knowledge distillation

BUILDING AND ENVIRONMENT

IF7.6

2023-11-019

PRE

Spatio-temporal interpretable neural network for solar irradiation prediction using transformer

ENERGY AND BUILDINGS

IF7.1

2023-10-0115

PRE

How to improve the application potential of deep learning model in HVAC fault diagnosis: Based on pruning and interpretable deep learning method

如何提高深度学习模型在暖通空调故障诊断中的应用潜力 -- 基于剪枝和可解释的深度学习方法

APPLIED ENERGY

IF11

2023-10-0118

PRE

Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives

数据驱动的建筑节能灵活性关键绩效指标和数据集: 回顾与展望

APPLIED ENERGY

IF11

2023-08-0144

OAAI

Energy saving and indoor temperature control for an office building using tube-based robust model predictive control

使用基于管的鲁棒模型预测控制的办公楼的节能和室内温度控制

APPLIED ENERGY

IF11

2023-07-0114

PRE

A review of data-driven fault detection and diagnostics for building HVAC systems

建筑HVAC系统的数据驱动故障检测和诊断综述

APPLIED ENERGY

IF11

2023-06-0172

OAAI

Improving training efficiency for scalable automated fault detection and diagnosis in chilled water plants by transfer learning

ENERGY AND BUILDINGS

IF7.1

2023-04-018

PRE

Shohei Miyata

个人简介

教育背景

工作经历

荣誉奖项

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