China's flexibility challenge in achieving carbon neutrality by 2060
China, with a heavy dependence on coal power, has announced a clear goal of carbon
neutrality by 2060. Electrification of final energy use and high penetration of renewable …
neutrality by 2060. Electrification of final energy use and high penetration of renewable …
A systematic review of building energy sufficiency towards energy and climate targets
Among the sufficiency, efficiency, and renewable frameworks for reducing energy use and
energy-related carbon emissions, Building Energy Sufficiency (BES) is gaining attention …
energy-related carbon emissions, Building Energy Sufficiency (BES) is gaining attention …
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
Photovoltaic (PV) power generation is an effective means to realize solar energy utilization.
Due to the natural characteristics of random fluctuations in solar energy, the applications of …
Due to the natural characteristics of random fluctuations in solar energy, the applications of …
Photovoltaic power forecast based on satellite images considering effects of solar position
Z Si, M Yang, Y Yu, T Ding - Applied Energy, 2021 - Elsevier
The rapid variation of clouds is the main factor that causes the fluctuation of photovoltaic
power. 1 The satellite images contain plenty of information about clouds, applicable for …
power. 1 The satellite images contain plenty of information about clouds, applicable for …
Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques
Load forecasting problems have traditionally been addressed using various statistical
methods, among which autoregressive integrated moving average with exogenous inputs …
methods, among which autoregressive integrated moving average with exogenous inputs …
Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting
Accurate solar photovoltaic power forecasting can help mitigate the potential risk caused by
the uncertainty of photovoltaic out power in systems with high penetration levels of solar …
the uncertainty of photovoltaic out power in systems with high penetration levels of solar …
Deep learning based surface irradiance mapping model for solar PV power forecasting using sky image
Z Zhen, J Liu, Z Zhang, F Wang, H Chai… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the increase of solar photovoltaic (PV) penetration in power system, the impact of
random fluctuation of PV power on the secure operation of power grid becomes more and …
random fluctuation of PV power on the secure operation of power grid becomes more and …
A novel peer-to-peer local electricity market for joint trading of energy and uncertainty
Z Zhang, R Li, F Li - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
In the future power system, an increasing number of distributed energy resources will be
integrated including intermittent generation like photovoltaic (PV) and flexible demand like …
integrated including intermittent generation like photovoltaic (PV) and flexible demand like …
A review of the role of distributed generation (DG) in future electricity systems
The traditional paradigm of centralised electricity systems is being disrupted by increasing
levels of distributed generation. It is unclear as to what level of distributed generation is …
levels of distributed generation. It is unclear as to what level of distributed generation is …
Smart households' aggregated capacity forecasting for load aggregators under incentive-based demand response programs
The technological advancement in the communication and control infrastructure helps those
smart households (SHs) that more actively participate in the incentive-based demand …
smart households (SHs) that more actively participate in the incentive-based demand …