[HTML][HTML] The impact of occupants' behaviours on building energy analysis: A research review
Over the past 15 years, the evaluation of energy demand and use in buildings has become
increasingly acute due to growing scientific and political pressure around the world in …
increasingly acute due to growing scientific and political pressure around the world in …
Regression analysis for prediction of residential energy consumption
N Fumo, MAR Biswas - Renewable and sustainable energy reviews, 2015 - Elsevier
The considerable amount of energy consumption associated to the residential sector
justifies and supports energy consumption modeling efforts. Among the three approaches to …
justifies and supports energy consumption modeling efforts. Among the three approaches to …
Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting
L Wen, K Zhou, S Yang, X Lu - Energy, 2019 - Elsevier
A deep recurrent neural network with long short-term memory units (DRNN-LSTM) model is
developed to forecast aggregated power load and the photovoltaic (PV) power output in …
developed to forecast aggregated power load and the photovoltaic (PV) power output in …
Load demand forecasting of residential buildings using a deep learning model
L Wen, K Zhou, S Yang - Electric Power Systems Research, 2020 - Elsevier
In smart grid and smart building environment, it is important to implement accurate load
demand forecasting of residential buildings. This plays an important role in supporting the …
demand forecasting of residential buildings. This plays an important role in supporting the …
Foreign direct investment and inclusive green growth in Africa: Energy efficiency contingencies and thresholds
Despite the growing number of empirical studies on foreign direct investment (FDI) and
energy efficiency (EE) as they relate to green growth, there remains an empirical research …
energy efficiency (EE) as they relate to green growth, there remains an empirical research …
Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review
With the rapid growth in the volume of relevant and available data, feature engineering is
emerging as a popular research subject in data-driven building energy prediction owing to …
emerging as a popular research subject in data-driven building energy prediction owing to …
Characteristics of residential energy consumption in China: Findings from a household survey
A comprehensive survey of 1450 households in 26 Chinese provinces was undertaken in
2012 to identify the characteristics and potential driving forces of residential energy …
2012 to identify the characteristics and potential driving forces of residential energy …
Critical determinants of household electricity consumption in a rapidly growing city
Despite growing urban electricity consumption, information on actual energy use in the
household sector is still limited and causal factors leading to electricity consumption remain …
household sector is still limited and causal factors leading to electricity consumption remain …
Performance gaps in energy consumption: household groups and building characteristics
P van den Brom, A Meijer… - Building Research & …, 2018 - Taylor & Francis
The difference between actual and calculated energy is called the 'energy-performance
gap'. Possible explanations for this gap are construction mistakes, improper adjusting of …
gap'. Possible explanations for this gap are construction mistakes, improper adjusting of …
Energy prediction techniques for large-scale buildings towards a sustainable built environment: A review
AAA Gassar, SH Cha - Energy and Buildings, 2020 - Elsevier
Building energy prediction techniques are the primary tool for moving towards sustainable
built environments. Energy prediction models play irreplaceable roles in making energy …
built environments. Energy prediction models play irreplaceable roles in making energy …