Jiafan Yu
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View article: A Novel Multimodal Uncertainty Optimization Method Based on Interval Model
A Novel Multimodal Uncertainty Optimization Method Based on Interval Model Open
View article: PaToPaEM: A Data-Driven Parameter and Topology Joint Estimation Framework for Time Varying System in Distribution Grids
PaToPaEM: A Data-Driven Parameter and Topology Joint Estimation Framework for Time Varying System in Distribution Grids Open
Grid topology and line parameters are essential for grid operation and planning, which may be missing or inaccurate in distribution grids. Existing data-driven approaches for recovering such information usually suffer from ignoring 1) inpu…
View article: DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States
DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States Open
View article: Performance guaranteed state estimation for renewable penetration with improved meters
Performance guaranteed state estimation for renewable penetration with improved meters Open
State estimation (SE) aims at monitoring the transmission and distribution networks to achieve stable and reliable grid operations. While the SE problem is non‐convex, a local search method is used to achieve global optimum based on the be…
View article: VADER: Visualization and Analytics for Distributed Energy Resources
VADER: Visualization and Analytics for Distributed Energy Resources Open
Enabling deep penetration of distributed energy resources (DERs) requires comprehensive monitoring and control of the distribution network. Increasing observability beyond the substation and extending it to the edge of the grid is required…
View article: PaToPa: A Data-Driven Parameter and Topology Joint Estimation Framework in Distribution Grids
PaToPa: A Data-Driven Parameter and Topology Joint Estimation Framework in Distribution Grids Open
The increasing integration of distributed energy resources (DERs) calls for new planning and operational tools. However, such tools depend on system topology and line parameters, which may be missing or inaccurate in distribution grids. Wi…
View article: Mapping Rule Estimation for Power Flow Analysis in Distribution Grids
Mapping Rule Estimation for Power Flow Analysis in Distribution Grids Open
The increasing integration of distributed energy resources (DERs) calls for new monitoring and operational planning tools to ensure stability and sustainability in distribution grids. One idea is to use existing monitoring tools in transmi…
View article: Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data
Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data Open
Accurate electricity demand forecast plays a key role in sustainable power systems. It enables better decision making in the planning of electricity generation and distribution for many use cases. The electricity demand data can often be r…
View article: The formation mechanism for printed silver-contacts for silicon solar cells
The formation mechanism for printed silver-contacts for silicon solar cells Open
View article: Rapid thermal processing chamber for <i>in-situ</i> x-ray diffraction
Rapid thermal processing chamber for <i>in-situ</i> x-ray diffraction Open
Rapid thermal processing (RTP) is widely used for processing a variety of materials, including electronics and photovoltaics. Presently, optimization of RTP is done primarily based on ex-situ studies. As a consequence, the precise reaction…