Energy Consumption and Carbon Emission Prediction of District Heating System in Residential Communities Based on SSA-LSTM Model. [PDF]
Sensors (Basel)Zhao B, Xu L, Zheng Z, Wu Y, Yuan T.
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The Need for Realistic Behavior Modeling in Life Cycle Assessment. [PDF]
Environ Sci TechnolMiller SA, Makov T.
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Digital technology adoption and clean energy transition among rural households in China. [PDF]
Sci RepWang W, Zhang Y, Gao R.
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A city-scale optimization framework for biomass-to-clean-energy transitions: The KAMPALA-TIMES model. [PDF]
iScienceKimuli I, Kirabira JB, Mujjuni F.
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Quantifying and Disclosing the Environmental Footprint of AI in Research: Life Cycle-Informed Framework and Open-Access Calculator Development Study. [PDF]
JMIR AIMozafari K +5 more
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Household level multidimensional energy poverty and its determinants: Evidence from tea estates in Bangladesh. [PDF]
PLoS OneKoiry S, Alam MJ, Begum IA, Farid MS.
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control large databases, scientists have started to record large datasets with detailed data on occupancy of household dwellers and electricity consumption.
Blumberga, Andra +3 more
core
Mapping the transition: the interplay of technology and natural disasters on sustainable energy in G20 nations. [PDF]
Sci RepQi H +4 more
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Climate Variability and Household Electricity Consumption
Challenges in SustainabilityRosalina Palanca-Tan +1 more
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Habit-locked-in carbon-air-pollutant emissions dominate China's household footprints. [PDF]
Environ Sci EcotechnolZhang Z, Long H, Tong D, Wang X, Chen S.
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