[HTML][HTML] Multi-quantile recurrent neural network for feeder-level probabilistic energy disaggregation considering roof-top solar energy
The purpose of feeder-level energy disaggregation is to decouple the net load measured at
the feeder-head into various components. This technology is vital for power system utilities …
the feeder-head into various components. This technology is vital for power system utilities …
Short‐term prediction of behind‐the‐meter PV power based on attention‐LSTM and transfer learning
J Zhang, L Hong, SN Ibrahim… - IET Renewable Power …, 2024 - Wiley Online Library
Distributed photovoltaic (PV) systems often lack adequate measurements due to cost
considerations, which makes it very difficult to predict them accurately. Here, an approach is …
considerations, which makes it very difficult to predict them accurately. Here, an approach is …
A hybrid data-driven online solar energy disaggregation system from the grid supply point
The integration of small-scale Photovoltaics (PV) systems (such as rooftop PVs) decreases
the visibility of power systems, since the real demand load is masked. Most rooftop systems …
the visibility of power systems, since the real demand load is masked. Most rooftop systems …
[PDF][PDF] Smart Metering System: Develo** New Designs to Improve Privacy and Functionality
X Zhang - 2022 - core.ac.uk
This PhD project aims to develop a novel smart metering system that plays a dual role: Fulfil
basic functions (metering, billing, management of demand for energy in grids) and protect …
basic functions (metering, billing, management of demand for energy in grids) and protect …