Energy Management in a Dynamic Built Environment - Using a Machine Learning ApproachMPhil in Energy Technologies | University of CambridgeAuthor: Quosain AliDate of Submission: August 2018
Creators: name: Ali, Quosain
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 330201
subject: Automation and technology in building and construction
classificationCode: 330204
subject: Building information modelling and management
classificationCode: 330206
subject: Building science, technologies and systems
classificationCode: 330311
subject: Models and simulations of design
classificationCode: 330314
subject: Sustainable design
classificationCode: 330399
subject: Design not elsewhere classified
classificationCode: 330299
subject: Building not elsewhere classified
classificationCode: 339999
subject: Other built environment and design not elsewhere classified
classificationCode: 400906
subject: Electronic sensors
classificationCode: 400904
subject: Electronic device and system performance evaluation, testing and simulation
classificationCode: 400999
subject: Electronics, sensors and digital hardware not elsewhere classified
classificationCode: 400702
subject: Automation engineering
classificationCode: 400701
subject: Assistive robots and technology
classificationCode: 400711
subject: Simulation, modelling, and programming of mechatronics systems
classificationCode: 400799
subject: Control engineering, mechatronics and robotics not elsewhere classified
classificationCode: 401204
subject: Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)
classificationCode: 401205
subject: Experimental methods in fluid flow, heat and mass transfer
classificationCode: 401207
subject: Fundamental and theoretical fluid dynamics
classificationCode: 401211
subject: Multiphysics flows (incl. multiphase and reacting flows)
classificationCode: 401213
subject: Turbulent flows
classificationCode: 401299
subject: Fluid mechanics and thermal engineering not elsewhere classified
classificationCode: 401102
subject: Environmentally sustainable engineering
classificationCode: 401703
subject: Energy generation, conversion and storage (excl. chemical and electrical)
classificationCode: 401704
subject: Mechanical engineering asset management
classificationCode: 401706
subject: Numerical modelling and mechanical characterisation
classificationCode: 401799
subject: Mechanical engineering not elsewhere classified
classificationCode: 409999
subject: Other engineering not elsewhere classified
classificationCode: 460104
subject: Applications in physical sciences
classificationCode: 460106
subject: Spatial data and applications
classificationCode: 460199
subject: Applied computing not elsewhere classified
classificationCode: 460202
subject: Autonomous agents and multiagent systems
classificationCode: 460206
subject: Knowledge representation and reasoning
classificationCode: 460207
subject: Modelling and simulation
classificationCode: 460209
subject: Planning and decision making
classificationCode: 460210
subject: Satisfiability and optimisation
classificationCode: 460299
subject: Artificial intelligence not elsewhere classified
classificationCode: 460301
subject: Active sensing
classificationCode: 460399
subject: Computer vision and multimedia computation not elsewhere classified
classificationCode: 460503
subject: Data models, storage and indexing
classificationCode: 460504
subject: Data quality
classificationCode: 460599
subject: Data management and data science not elsewhere classified
classificationCode: 460511
subject: Stream and sensor data
classificationCode: 461104
subject: Neural networks
classificationCode: 461102
subject: Context learning
classificationCode: 461106
subject: Semi- and unsupervised learning
classificationCode: 461199
subject: Machine learning not elsewhere classified
classificationCode: 461204
subject: Programming languages
classificationCode: 461299
subject: Software engineering not elsewhere classified
classificationCode: 461208
subject: Software testing, verification and validation
classificationCode: 461207
subject: Software quality, processes and metrics
classificationCode: 461202
subject: Empirical software engineering
classificationCode: 461301
subject: Coding, information theory and compression
classificationCode: 461303
subject: Computational logic and formal languages
classificationCode: 461302
subject: Computational complexity and computability
classificationCode: 461306
subject: Numerical computation and mathematical software
classificationCode: 461399
subject: Theory of computation not elsewhere classified
classificationCode: 469999
subject: Other information and computing sciences not elsewhere classified
classificationCode: 490301
subject: Experimental mathematics
classificationCode: 490302
subject: Numerical analysis
classificationCode: 490303
subject: Numerical solution of differential and integral equations
classificationCode: 490304
subject: Optimisation
classificationCode: 490399
subject: Numerical and computational mathematics not elsewhere classified
classificationCode: 490503
subject: Computational statistics
classificationCode: 490508
subject: Statistical data science
classificationCode: 490509
subject: Statistical theory
classificationCode: 490511
subject: Time series and spatial modelling
classificationCode: 490599
subject: Statistics not elsewhere classified
classificationCode: 490507
subject: Spatial statistics
classificationCode: 499999
subject: Other mathematical sciences not elsewhere classified
classificationCode: 510304
subject: Thermodynamics and statistical physics
classificationCode: 510399
subject: Classical physics not elsewhere classified
classificationCode: 519999
subject: Other physical sciences not elsewhere classified
classificationCode: 490108
subject: Operations research
classificationCode: 490109
subject: Theoretical and applied mechanics
classificationCode: 490199
subject: Applied mathematics not elsewhere classified
classificationCode: 490105
subject: Dynamical systems in applications
classificationCode: 490107
subject: Mathematical methods and special functions
classificationCode: 490299
subject: Mathematical physics not elsewhere classified
classificationCode: 410199
subject: Climate change impacts and adaptation not elsewhere classified
classificationCode: 410499
subject: Environmental management not elsewhere classified
classificationCode: 410599
subject: Pollution and contamination not elsewhere classified
classificationCode: 419999
subject: Other environmental sciences not elsewhere classified

description: Title: "Energy Management in a Dynamic Built Environment - Using a Machine Learning Approach"This thesis presents an innovative approach to energy management in non-domestic buildings through the application of machine learning techniques. Focusing on the building sector in England and Wales, which accounts for a significant portion of energy consumption, the study investigates the potential of Digital Twin technology combined with a Variational Autoencoder (VAE) to model and improve energy dynamics in buildings.The research constructs a Digital Twin using VAE and employs datasets comprising thirteen features believed to influence building energy dynamics. The study involves fifteen experiments, with the first twelve used to train the VAE and the last three to test its predictive capabilities on missing feature values in incomplete datasets. The key features include environmental factors like temperature, humidity, and the operation of heating and cooling systems. The VAE's performance showed a reasonable reconstruction loss but high KL divergence, indicating inconclusive yet trend-leaning results.This work contributes to the field by exploring how machine learning can be leveraged to enhance building energy management, addressing the challenges in reducing carbon emissions in the built environment. It serves as a valuable resource for researchers and practitioners in building science, environmental management, and machine learning applications in energy systems​​.