Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Wen, Honglin"'
Day-ahead unit commitment (UC) is a fundamental task for power system operators, where generator statuses and power dispatch are determined based on the forecasted nodal net demands. The uncertainty inherent in renewables and load forecasting require
Externí odkaz:
http://arxiv.org/abs/2408.05185
Large penetration of renewable energy sources (RESs) brings huge uncertainty into the electricity markets. While existing deterministic market clearing fails to accommodate the uncertainty, the recently proposed stochastic market clearing struggles t
Externí odkaz:
http://arxiv.org/abs/2405.09004
Machine learning techniques have been successfully used in probabilistic wind power forecasting. However, the issue of missing values within datasets due to sensor failure, for instance, has been overlooked for a long time. Although it is natural to
Externí odkaz:
http://arxiv.org/abs/2403.03631
Renewable energy forecasting is the workhorse for efficient energy dispatch. However, forecasts with small mean squared errors (MSE) may not necessarily lead to low operation costs. Here, we propose a forecasting approach specifically tailored for op
Externí odkaz:
http://arxiv.org/abs/2310.00571
Power systems Unit Commitment (UC) problem determines the generator commitment schedule and dispatch decisions for power networks based on forecasted electricity demand. However, with the increasing penetration of renewables and stochastic demand beh
Externí odkaz:
http://arxiv.org/abs/2309.05894
Energy forecasting is an essential task in power system operations. Operators usually issue forecasts and leverage them to schedule energy dispatch ahead of time. However, forecast models are typically developed in a way that overlooks the operationa
Externí odkaz:
http://arxiv.org/abs/2309.00803
Autor:
Wen, Honglin
Probabilistic wind power forecasting approaches have significantly advanced in recent decades. However, forecasters often assume data completeness and overlook the challenge of missing values resulting from sensor failures, network congestion, etc. T
Externí odkaz:
http://arxiv.org/abs/2305.14662
Unit commitment (UC) are essential tools to transmission system operators for finding the most economical and feasible generation schedules and dispatch signals. Constraint screening has been receiving attention as it holds the promise for reducing a
Externí odkaz:
http://arxiv.org/abs/2212.00483
Demand response (DR) leverages demand-side flexibility, offering a promising approach to enhance market conditions like mitigating wholesale price spikes. However, poorly chosen DR locations can inadvertently increase electricity prices. For that, we
Externí odkaz:
http://arxiv.org/abs/2211.14806
Prediction interval (PI) is an effective tool to quantify uncertainty and usually serves as an input to downstream robust optimization. Traditional approaches focus on improving the quality of PI in the view of statistical scores and assume the impro
Externí odkaz:
http://arxiv.org/abs/2210.04152