Interpretable temporal-spatial graph attention network for multi-site PV power forecasting

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

The number of transient operations in hydraulic machinery connected to power grid, notably start-ups and shut-downs, has observed a substantial increase in recent decades, primarily driven by the global shift toward intermittent renewable energy sources. S ...

Object detection, a fundamental task in computer vision, is crucial for various intelligent edge computing applications. However, object detection algorithms are usually heavy in computation, hindering their deployments on resource-constrained edge devices ...

Radar rainfall nowcasting has mostly been applied to relatively large (often rural) domains (e.g., river basins), although rainfall nowcasting in small urban areas is expected to be more challenging. Here, we selected 80 events with high rainfall intensiti ...

Integer linear programming (ILP) is an elegant approach to solve linear optimization problems, naturally described using integer decision variables. Within the context of physics-inspired machine learning (ML) applied to chemistry, we demonstrate the relev ...

For the sustainable development of the renewable hydrogen sector, alkaline electrolysis appears to be a technology of choice. Nevertheless, despite its long history that showed its reliability in the industrial field and despite the traditional belief from ...

Given a ground-level query image and a geo-referenced aerial image that covers the query’s local surroundings, fine-grained cross-view localization aims to estimate the location of the ground camera inside the aerial image. Recent works have focused on dev ...

Deep learning has revolutionized the field of computer vision, a success largely attributable to the growing size of models, datasets, and computational power. Simultaneously, a critical pain point arises as several computer vision applications are deploye ...

Magnons are the quanta of spin waves and transport angular momenta through magnetically ordered materials. They can be used to distribute and control on-chip GHz signals without charge flow, thereby avoiding Joule heating. Beyond multiplexed signal process ...

Photo-electrochemical (PEC) devices allow for converting solar energy into chemical energy and for the production of energetically dense solar fuels. Light absorption, charge separation and transport, electrochemical reactions, and ionic transport are requ ...

MammAlps is a multimodal and multi-view dataset of wildlife behavior monitoring. Nine camera-traps were placed at three monitoring sites in the Swiss National Park, from which we curated over 14 hours of video with audio, 2D segmentation maps and 8.5 hours ...

A robust anomaly detection mechanism should possess the capability to effectively remediate anomalies, restoring them to a healthy state, while preserving essential healthy information. Despite the efficacy of existing generative models in learning the und ...

Solar energy is the most abundant energy source, harnessing solar energy holds the solution to the challenge of increasing global energy demand and reducing our dependence on fossil fuels. Photovoltaics which directly convert solar energy into electricity ...

Maximizing solar energy production in Switzerland is key to meet energy transition goals. Understanding in detail the current situation, and the potential for expansion is important to develop effective strategies. With this study, we want to contribute to ...

Automatic speech recognition (ASR) systems are well known to perform poorly on dysarthric speech. Previous works have addressed this by speaking rate modification to reduce the mismatch with typical speech. Unfortunately, these approaches rely on transcrib ...

Distributed rooftop photovoltaics (PV) is one of the pillars of the energy transition yet their widespread integration strains grids, leading to over-voltage, reverse power flow, and infrastructure strain. Furthermore, increased PV self-consumption reduces ...

Interpretable temporal-spatial graph attention network for multi-site PV power forecasting

Chat with Graph Search

On the prediction of the induced damage by the start-up sequence of Francis turbines: On operational resilience framework

Edge-Cloud Collaborated Object Detection via Bandwidth Adaptive Difficult-Case Discriminator

Nowcasting of High-Intensity Rainfall for Urban Applications in the Netherlands

Integer Linear Programming for Unsupervised Training Set Selection in Molecular Machine Learning

Perspective Alkaline electrolyzers: Powering industries and overcoming fundamental challenges

Adapting Fine-Grained Cross-View Localization to Areas Without Fine Ground Truth

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Perspective on nonvolatile magnon-signal storage and in-memory computation for low-power consuming magnonics

Modeling, design and economics of PEC devices

MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet

Photoelectrochemical Cell Engineering for Solar Energy Conversion

What is the net PV energy production in Switzerland and how can we maximize it?

Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR

Balancing DSO interests and PV system economics with alternative tariffs