Data acquisition for urban building energy modeling: A review

C Wang, M Ferrando, F Causone, X Jin, X Zhou… - Building and …, 2022 - Elsevier
Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …

Electrical load forecasting models: A critical systematic review

C Kuster, Y Rezgui, M Mourshed - Sustainable cities and society, 2017 - Elsevier
Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …

[HTML][HTML] Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid

C Long, J Wu, Y Zhou, N Jenkins - Applied energy, 2018 - Elsevier
Abstract Peer-to-peer (P2P) energy sharing allows the surplus energy from distributed
energy resources (DERs) to trade between prosumers in a community Microgrid. P2P …

Impact of uncoordinated plug-in electric vehicle charging on residential power demand

M Muratori - Nature Energy, 2018 - nature.com
Electrification of transport offers opportunities to increase energy security, reduce carbon
emissions, and improve local air quality. Plug-in electric vehicles (PEVs) are creating new …

[HTML][HTML] A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed

X Xu, H Yu, Q Sun, VWY Tam - Renewable and Sustainable Energy …, 2023 - Elsevier
Occupant behavior has been widely considered as one of the key influencing factors on
building energy consumption. The complexity of its formation mechanism and the dynamic …

Peer-to-peer energy trading in a community microgrid

C Long, J Wu, C Zhang, L Thomas… - 2017 IEEE power & …, 2017 - ieeexplore.ieee.org
Peer-to-Peer (P2P) energy trading describes flexible energy trades between peers, where
the excess energy from many small-scale Distributed Energy Resources (DERs) is traded …

Energy systems modeling for twenty-first century energy challenges

S Pfenninger, A Hawkes, J Keirstead - Renewable and Sustainable Energy …, 2014 - Elsevier
Energy systems models are important methods used to generate a range of insight and
analysis on the supply and demand of energy. Developed over the second half of the …

[HTML][HTML] The increasing impact of weather on electricity supply and demand

I Staffell, S Pfenninger - Energy, 2018 - Elsevier
Wind and solar power have experienced rapid cost declines and are being deployed at
scale. However, their output variability remains a key problem for managing electricity …

A clustering approach to domestic electricity load profile characterisation using smart metering data

F McLoughlin, A Duffy, M Conlon - Applied energy, 2015 - Elsevier
The availability of increasing amounts of data to electricity utilities through the
implementation of domestic smart metering campaigns has meant that traditional ways of …

[HTML][HTML] Modelling community-scale renewable energy and electric vehicle management for cold-climate regions using machine learning

R Zahedi, M hasan Ghodusinejad, A Aslani… - Energy Strategy …, 2022 - Elsevier
With increasing environmental problems of fossil fuel-based devices and systems in
societies, diffusion and adoption of sustainability solutions such as renewable energy …