An ANN-based model for the prediction of internal lighting conditions and user actions in non-residential buildings

Critical review and illustrative examples of office occupant modelling formalisms

(2019) Simona D'Oca et al.   Building Services Engineering Research & Technology

Experimental study on occupants' interaction with windows and lights in Mediterranean offices during the non-heating season

(2018) Federica Naspi et al.   BUILDING AND ENVIRONMENT

A preliminary study of occupants’ use of manual lighting controls in private offices: A case study

(2018) Sara Gilani et al.   ENERGY AND BUILDINGS

Computational intelligence modelling based on variables interlinked with behavioral tendencies for energy usage profile – A necessity

(2018) O.M. Popoola   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A Bayesian modeling approach of human interactions with shading and electric lighting systems in private offices

(2017) Seyed Amir Sadeghi et al.   ENERGY AND BUILDINGS

A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures

(2017) Kaiyu Sun et al.   ENERGY AND BUILDINGS

Fuzzy logic model for the categorization of manual lighting control behaviour patterns based on daylight illuminance and interior layout

(2017) Arzu Cılasun Kunduracı et al.   INDOOR AND BUILT ENVIRONMENT

Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks

(2017) Hanae Loutfi et al.   INTERNATIONAL JOURNAL OF PHOTOENERGY

Improving sustainable office building operation by using historical data and linear models to predict energy usage

(2017) Majeed Safa et al.   Sustainable Cities and Society

Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces

(2016) Ignacio Acosta et al.   APPLIED ENERGY

Design optimisation for window size, orientation, and wall reflectance with regard to various daylight metrics and lighting energy demand: A case study of buildings in the tropics

(2016) Rizki A. Mangkuto et al.   APPLIED ENERGY

A generalized probabilistic formula relating occupant behavior to environmental conditions

(2016) Chuang Wang et al.   BUILDING AND ENVIRONMENT

Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings

(2016) Young Tae Chae et al.   ENERGY AND BUILDINGS

Dynamic operation of daylighting and shading systems: A literature review

(2016) Maria Konstantoglou et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Search for the optimal window-to-wall ratio in office buildings in different European climates and the implications on total energy saving potential

(2016) Francesco Goia   SOLAR ENERGY

Model-based shading and lighting controls considering visual comfort and energy use

(2016) Jie Xiong et al.   SOLAR ENERGY

Impacts of building operational schedules and occupants on the lighting energy consumption patterns of an office space

(2016) Payam Delgoshaei et al.   Building Simulation

Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis

(2015) Kangji Li et al.   ENERGY AND BUILDINGS

Validation ofDIALux4.12 andDIALux evo4.1 against the Analytical Test Cases of CIE 171:2006

(2015) Rizki A. Mangkuto   Leukos

On adaptive occupant-learning window blind and lighting controls

(2014) H. Burak Gunay et al.   BUILDING RESEARCH AND INFORMATION

Daylight factor estimation at an early design stage to reduce buildings' energy consumption due to artificial lighting: A numerical approach based on Doehlert and Box–Behnken designs

(2014) Lazaros Elias Mavromatidis et al.   ENERGY

Distributed lighting control with daylight and occupancy adaptation

(2014) Niels van de Meugheuvel et al.   ENERGY AND BUILDINGS

Illumination Modeling Method for Office Lighting Control by Using RBFNN

(2014) Wa SI et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

Occupants interaction with electric lighting and shading systems in real single-occupied offices: Results from a monitoring campaign

(2013) Pedro Correia da Silva et al.   BUILDING AND ENVIRONMENT

An investigation into the impact of movable solar shades on energy, indoor thermal and visual comfort improvements

(2013) Jian Yao   BUILDING AND ENVIRONMENT

Predicting daylight illuminance and solar irradiance on vertical surfaces based on classified standard skies

(2013) Danny H.W. Li et al.   ENERGY

Using artificial neural networks to predict the impact of daylighting on building final electric energy requirements

(2013) Raphaela Walger da Fonseca et al.   ENERGY AND BUILDINGS

Illumination control of LED systems based on neural network model and energy optimization algorithm

(2013) Zizhen Wang et al.   ENERGY AND BUILDINGS

Sensorless Illumination Control of a Networked LED-Lighting System Using Feedforward Neural Network

(2013) Duong Tran et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Combined Electric Light and Daylight Systems Ecodesign

(2013) Giuseppe Parise et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Manually-operated window shade patterns in office buildings: A critical review

(2012) William O'Brien et al.   BUILDING AND ENVIRONMENT

Multi-objective optimization for decision-making of energy and comfort management in building automation and control

(2011) Rui Yang et al.   Sustainable Cities and Society

A review of daylight illuminance determinations and energy implications

(2010) Danny H.W. Li   APPLIED ENERGY

Estimation of sky luminance in the tropics using artificial neural networks: Modeling and performance comparison with the CIE model

(2010) Serm Janjai et al.   APPLIED ENERGY

Adaptive actions on shading devices in response to local visual stimuli

(2010) Frédéric Haldi et al.   Journal of Building Performance Simulation

Artificial neural networks for energy analysis of office buildings with daylighting

(2009) S.L. Wong et al.   APPLIED ENERGY

Artificial neural networks to predict daylight illuminance in office buildings

(2008) Tuğçe Kazanasmaz et al.   BUILDING AND ENVIRONMENT

Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption

(2008) Alberto Hernandez Neto et al.   ENERGY AND BUILDINGS

Advanced control systems engineering for energy and comfort management in a building environment—A review

(2008) A.I. Dounis et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Monitoring and modelling of manually-controlled Venetian blinds in private offices: a pilot study

(2008) Vorapat Inkarojrit   Journal of Building Performance Simulation