Machine learning approaches for estimating commercial building energy consumption

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A review on the prediction of building energy consumption

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Comparing High and Low Residential Density: Life-Cycle Analysis of Energy Use and Greenhouse Gas Emissions

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Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

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The log transformation is special

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Spatial distribution of urban building energy consumption by end use

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Climate warming impact on degree-days and building energy demand in Switzerland

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Opportunities and insights for reducing fossil fuel consumption by households and organizations

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Methods for benchmarking building energy consumption against its past or intended performance: An overview

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Impacts of urban form on future US passenger-vehicle greenhouse gas emissions

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Big-data for building energy performance: Lessons from assembling a very large national database of building energy use

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Commercial Building Energy Saver: An energy retrofit analysis toolkit

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Modelling the heat consumption in district heating systems using a grey-box approach

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Study on performance of energy-efficient retrofitting measures on commercial building external walls in cooling-dominant cities

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UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands

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The geography of metropolitan carbon footprints

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An energy benchmarking model based on artificial neural network method utilizing US Commercial Buildings Energy Consumption Survey (CBECS) database

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Data Driven Approaches for Prediction of Building Energy Consumption at Urban Level

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Impact of occupancy rates on the building electricity consumption in commercial buildings

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Life-cycle energy implications of different residential settings: Recognizing buildings, travel, and public infrastructure

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High-resolution ensemble projections of near-term regional climate over the continental United States

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Comparative Study on Machine Learning for Urban Building Energy Analysis

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Modeling climate-driven changes in U.S. buildings energy demand

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Predicting Building Energy Efficiency Using New York City Benchmarking Data

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Practical lognormal framework for household energy consumption modeling

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Statistical modelling of district-level residential electricity use in NSW, Australia

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Impact of Urban Form on Energy Use in Central City and Suburban Neighborhoods: Lessons from the Phoenix Metropolitan Region

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Trends in Automobile Energy use and GHG Emissions in Suburban and Inner City Neighborhoods: Lessons from Metropolitan Phoenix, USA

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Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model

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Statistical and machine learning forecasting methods: Concerns and ways forward

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Tackling climate change with machine learning

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Grading buildings on energy performance using city benchmarking data

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Pattern recognition in building energy performance over time using energy benchmarking data

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A systematic review of current AI techniques used in the context of the SDGs

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The Political Environment of Metropolitan Coordination: A Political Analysis of the Metropolitan Area of Guadalajara (Mexico)

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Effect of Beltways on Metropolitan Economic Activity

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Improve Metropolitan Competitiveness Through Innovation. The Critical and Moderating Role of University Spin-offs

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Metropolitan Regions : Preconditions and Strategies for Growth and Development in the Global EconomyPreprint

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