Sökning: "Mengjie Han"

Hittade 5 avhandlingar innehållade orden Mengjie Han.

1. 1. Heuristic optimization of the p-median problem and population re-distribution

   Författare :Mengjie Han; Kenneth Carling; Johan Håkansson; Pascal Rebreyend; David Philip McArthur; Högskolan Dalarna; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Sammanfattning : This thesis contributes to the heuristic optimization of the p-median problem and Swedish population redistribution.  The p-median model is the most representative model in the location analysis. LÄS MER

3. 2. On the Feasibility of Reinforcement Learning in Single- and Multi-Agent Systems : The Cases of Indoor Climate and Prosumer Electricity Trading Communities

   Författare :Ross May; Kenneth Carling; Mengjie Han; Xingxing Zhang; Zoltán Nagy; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Reinforcement Learning; Multi-Agent Reinforcement Learning; Buildings; Indoor Climate; Occupant Comfort; Positive Energy Districts; Peer-to-Peer Markets; Complex Adaptive Systems;

   Sammanfattning : Over half of the world’s population live in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. LÄS MER

4. 3. The reinforcement learning method : A feasible and sustainable control strategy for efficient occupant-centred building operation in smart cities

   Författare :Ross May; Kenneth Carling; Mengjie Han; Pascal Rebreyend; Zoltan Nagy; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Markov decision processes; Reinforcement learning; Control; Building; Indoor comfort; Occupant; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Sammanfattning : Over half of the world’s population lives in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. LÄS MER

5. 4. Machine Learning Approaches to Develop Weather Normalize Models for Urban Air Quality

   Författare :Chau Ngoc Phuong; Mengjie Han; Rasa Zalakeviciute; Ilias Thomas; Mario Salvador González Rodríguez; Högskolan Dalarna; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Weather Normalized Models WNMs ; Air Pollution; Data-Driven Modeling and Optimization; Deep Learning - Artificial Neural Network DL-ANN ; Machine Learning;

   Sammanfattning : According to the World Health Organization, almost all human population (99%) lives in 117 countries with over 6000 cities, where air pollutant concentration exceeds recommended thresholds. The most common, so-called criteria, air pollutants that affect human lives, are particulate matter (PM) and gas-phase (SO2, CO, NO2, O3 and others). LÄS MER

7. 5. A Multi-Dimensional Approach to Human Mobility and Transportation Mode Detection Using GPS Data

   Författare :Paria Sadeghian; Johan Håkansson; Xiaoyun Zhao; Mengjie Han; Kevin Heaslip; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Transport mode detection; Machine learning; Statistical learning; Rule-based method; Data labelling;

   Sammanfattning : GPS tracking data is an essential resource for analyzing human travel patterns and evaluating the effects on transportation systems. The primary challenge, however, is to accurately identify the modes of transportation within unlabeled GPS data. These approaches range from simple rule-based systems to advanced machine-learning techniques. LÄS MER