A scalable platform for investigating the space-specific features of the temporal energy usage pattern and saving potential with real-time bigdata

Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data

(2020) Paul Westermann et al.   APPLIED ENERGY

Building categorization revisited: A clustering-based approach to using smart meter data for building energy benchmarking

(2020) Sicheng Zhan et al.   APPLIED ENERGY

Green New Deal Policy of South Korea: Policy Innovation for a Sustainability Transition

(2020) Jae-Hyup Lee et al.   Sustainability

Bottom-up modelling methodology for urban-scale analysis of residential space heating demand response

(2019) Rasmus Elbæk Hedegaard et al.   APPLIED ENERGY

Analysis of energy consumption profiles in residential buildings and impact assessment of a serious game on occupants’ behavior

(2019) Tamás Csoknyai et al.   ENERGY AND BUILDINGS

Accuracy of different machine learning algorithms and added-value of predicting aggregated-level energy performance of commercial buildings

(2019) Shalika Walker et al.   ENERGY AND BUILDINGS

Experimental validation of an electrical and thermal energy demand model for rapid assessment of rural health centers in sub-Saharan Africa

(2018) Matthew Orosz et al.   APPLIED ENERGY

A Prediction Mechanism of Energy Consumption in Residential Buildings Using Hidden Markov Model

(2018) Israr Ullah et al.   Energies

Energy disaggregation based on smart metering data via semi-binary nonnegative matrix factorization

(2018) Ayumu Miyasawa et al.   ENERGY AND BUILDINGS

Modeling of Monthly Residential and Commercial Electricity Consumption Using Nonlinear Seasonal Models—The Case of Hong Kong

(2017) Wai-Ming To et al.   Energies

Energy system impacts and policy implications of the European Intended Nationally Determined Contribution and low-carbon pathway to 2050

(2017) Panagiotis Fragkos et al.   ENERGY POLICY

Household monthly electricity consumption pattern mining: A fuzzy clustering-based model and a case study

(2017) Kaile Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Energy Forecasting for Event Venues: Big Data and Prediction Accuracy

(2016) Katarina Grolinger et al.   ENERGY AND BUILDINGS

Empirical variation in 24-h profiles of delivered power for a sample of UK dwellings: Implications for evaluating energy savings

(2015) A.J. Summerfield et al.   ENERGY AND BUILDINGS

Household Energy Consumption Segmentation Using Hourly Data

(2014) Jungsuk Kwac et al.   IEEE Transactions on Smart Grid

Predicting future hourly residential electrical consumption: A machine learning case study

(2012) Richard E. Edwards et al.   ENERGY AND BUILDINGS

Regression models for predicting UK office building energy consumption from heating and cooling demands

(2012) Ivan Korolija et al.   ENERGY AND BUILDINGS