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Minhyun Lee

Yonsei University · Engineering

About the Lab

Professor Minhyun Lee's research lab specializes in solar energy systems and sustainable urban energy solutions, with a focus on optimizing photovoltaic (PV) system deployment through advanced data-driven modeling and spatial analysis. The lab investigates solar radiation mapping, rooftop PV potential assessment using geospatial techniques like Hillshade Analysis, and economic feasibility of residential solar PV systems under varying policy and incentive frameworks. Research directions emphasize the integration of geographic information systems (GIS), case-based reasoning (CBR), and geostatistical methods to enhance decision-making for solar energy planning in urban environments. The lab also evaluates long-term policy sustainability and financial incentives to support the transition to mature, self-sustaining solar energy markets.

solar PV potentialsolar radiation mappinggeospatial analysisenergy policy evaluationurban solar energy

Research Overview

Papers
112
Total Citations
3,406
Papers (5y)
43
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
43total
2022
2023
2024
2025
2026
Citations per year (5y)
622total
20222023202420252026

Selected Papers

15
1
Article|193 citations·2016
Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis
Taehoon Hong, Minhyun Lee, Choongwan Koo, Kwangbok Jeong, Jimin Kim
SJR Q1Applied Energy
Artificial IntelligenceComputer Science
2
Article|138 citations·2024
Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings
Xuerong Cui, Minhyun Lee, Choongwan Koo, Taehoon Hong
SJR Q1Energy and Buildings
Building and ConstructionEngineering
3
Article|132 citations·2019
Occupant responses on satisfaction with window size in physical and virtual built environments
Taehoon Hong, Minhyun Lee, Seungkeun Yeom, Kwangbok Jeong
SJR Q1Building and Environment
Health, Toxicology and MutagenesisEnvironmental Science
4
Article|66 citations·2018
A bottom-up approach for estimating the economic potential of the rooftop solar photovoltaic system considering the spatial and temporal diversity
Minhyun Lee, Taehoon Hong, Kwangbok Jeong, Jimin Kim
SJR Q1Applied Energy
Artificial IntelligenceComputer Science
5
Article|61 citations·2019
Hybrid agent-based modeling of rooftop solar photovoltaic adoption by integrating the geographic information system and data mining technique
Minhyun Lee, Taehoon Hong
SJR Q1Energy Conversion and Management
Management Science and Operations ResearchDecision Sciences
6
Article|57 citations·2022
Influence of interior layouts on occupant energy-saving behaviour in buildings: An integrated approach using Agent-Based Modelling, System Dynamics and Building Information Modelling
Mohammad Nyme Uddin, Hung-Lin Chi, Hsi-Hsien Wei, Minhyun Lee, Meng Ni
SJR Q1Renewable and Sustainable Energy ReviewsOA
Building and ConstructionEngineering
7
Article|53 citations·2014
Framework for the Mapping of the Monthly Average Daily Solar Radiation Using an Advanced Case-Based Reasoning and a Geostatistical Technique
Minhyun Lee, Choongwan Koo, Taehoon Hong, Hyo Seon Park
SJR Q1Environmental Science & Technology

For the effective photovoltaic (PV) system, it is necessary to accurately determine the monthly average daily solar radiation (MADSR) and to develop an accurate MADSR map, which can simplify the decision-making process for selecting the suitable location of the PV system installation. Therefore, this study aimed to develop a framework for the mapping of the MADSR using an advanced case-based reasoning (CBR) and a geostatistical technique. The proposed framework consists of the following procedur

Artificial IntelligenceComputer Science
8
Article|51 citations·2016
Estimation of the Available Rooftop Area for Installing the Rooftop Solar Photovoltaic (PV) System by Analyzing the Building Shadow Using Hillshade Analysis
Taehoon Hong, Minhyun Lee, Choongwan Koo, Jimin Kim, Kwangbok Jeong
Energy ProcediaOA

For continuous promotion of the solar PV system in buildings, it is crucial to analyze the rooftop solar PV potential. However, the rooftop solar PV potential in urban areas highly varies depending on the available rooftop area due to the building shadow. In order to estimate the available rooftop area accurately by considering the building shadow, this study proposed an estimation method of the available rooftop area for installing the rooftop solar PV system by analyzing the building shadow us

Artificial IntelligenceComputer Science
9
Article|45 citations·2016
An economic impact analysis of state solar incentives for improving financial performance of residential solar photovoltaic systems in the United States
Minhyun Lee, Taehoon Hong, Choongwan Koo
SJR Q1Renewable and Sustainable Energy Reviews
PollutionEnvironmental Science
10
Article|45 citations·2023
Grid parity analysis of photovoltaic systems considering feed-in tariff and renewable energy certificate schemes in Hong Kong
Ruixiaoxiao Zhang, Minhyun Lee, Lijie Huang
SJR Q1Renewable and Sustainable Energy Reviews
Electrical and Electronic EngineeringEngineering
11
Article|39 citations·2017
A BREAK-EVEN ANALYSIS AND IMPACT ANALYSIS OF RESIDENTIAL SOLAR PHOTOVOLTAIC SYSTEMS CONSIDERING STATE SOLAR INCENTIVES
Minhyun Lee, Taehoon Hong, Choongwan Koo, Chan-Joong Kim
SJR Q2Technological and Economic Development of EconomyOA

Despite the steady growth and price reductions of solar photovoltaic (PV) market in the United States (U.S.), the solar PV market still depends on financial support and incentives due to its high initial investment cost. Therefore, this study aimed to conduct a break-even analysis and impact analysis of residential solar PV systems by state in the U.S., focused on state solar incentives. Three indexes (i.e., net present value, profitability index (PI) and payback period) were used to evaluate th

Artificial IntelligenceComputer Science
12
Article|35 citations·2024
Optimization of battery energy storage system (BESS) sizing in different electricity market types considering BESS utilization mechanisms and ownerships
Ruixiaoxiao Zhang, Minhyun Lee, Lijie Huang, Meng Ni
SJR Q1Journal of Cleaner Production
Electrical and Electronic EngineeringEngineering
13
Article|29 citations·2018
Development of a rooftop solar photovoltaic rating system considering the technical and economic suitability criteria at the building level
Minhyun Lee, Taehoon Hong, Jaewook Jeong, Kwangbok Jeong
SJR Q1Energy
Artificial IntelligenceComputer Science
14
Article|23 citations·2023
Peer-to-peer trading price and strategy optimization considering different electricity market types, tariff systems, and pricing models
Ruixiaoxiao Zhang, Minhyun Lee, Dongqi Zhao, Hyuna Kang, Taehoon Hong
SJR Q1Energy and Buildings
Electrical and Electronic EngineeringEngineering
15
Article|23 citations·2024
Thermal and visual comforts of occupants for a naturally ventilated educational building in low-income economies: A machine learning approach
Mohammad Nyme Uddin, Minhyun Lee, Xuerong Cui, Xuange Zhang, Tanvin Hasan, Choongwan Koo, Taehoon Hong
SJR Q1Journal of Building Engineering
Building and ConstructionEngineering

Research Areas

Building and ConstructionArtificial IntelligenceElectrical and Electronic EngineeringPollutionRenewable Energy, Sustainability and the EnvironmentAerospace Engineering

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