Honglin Wen
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View article: Predict-then-Optimize for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks Stream
Predict-then-Optimize for Seaport Power-Logistics Scheduling: Generalization across Varying Tasks Stream Open
Power-logistics scheduling in modern seaports typically follow a predict-then-optimize pipeline. To enhance the decision quality of forecasts, decision-focused learning has been proposed, which aligns the training of forecasting models wit…
View article: Pooling Probabilistic Forecasts for Cooperative Wind Power Offering
Pooling Probabilistic Forecasts for Cooperative Wind Power Offering Open
Wind power producers can benefit from forming coalitions to participate cooperatively in electricity markets. To support such collaboration, various profit allocation rules rooted in cooperative game theory have been proposed. However, exi…
View article: Multi-wavelength and central-wavelength-tunable solitons and soliton molecules in a SMF-GIMF-SMF mode-locked fiber laser
Multi-wavelength and central-wavelength-tunable solitons and soliton molecules in a SMF-GIMF-SMF mode-locked fiber laser Open
In this work, we propose and experimentally demonstrate an erbium-doped mode-locked fiber laser incorporating a single-mode fiber-graded-index multimode fiber-single-mode fiber (SMF-GIMF-SMF) structure. The SMF-GIMF-SMF segment serves as a…
View article: On Wide-Band Oscillation Localization in Power Transmission Grids: Explainability and Improvement
On Wide-Band Oscillation Localization in Power Transmission Grids: Explainability and Improvement Open
The broadband oscillation caused by the large-scale integration of new energy generation units into the power grid poses hidden dangers to the stable operation of the power grid. Fast and accurate positioning of the oscillation source is t…
View article: Value-oriented forecast reconciliation for renewables in electricity markets
Value-oriented forecast reconciliation for renewables in electricity markets Open
Forecast reconciliation is considered an effective method to achieve coherence (within a forecast hierarchy) and to improve forecast quality. However, the value of reconciled forecasts in downstream decision-making tasks has been mostly ov…
View article: Suppression of Continuous-Wave-Induced Resonant Sidebands in Soliton Molecule Spectra
Suppression of Continuous-Wave-Induced Resonant Sidebands in Soliton Molecule Spectra Open
View article: Suppression of Continuous-Wave-Induced Resonant Sidebands in Soliton Molecule Spectra
Suppression of Continuous-Wave-Induced Resonant Sidebands in Soliton Molecule Spectra Open
View article: Improving Sequential Market Coordination via Value-oriented Renewable Energy Forecasting
Improving Sequential Market Coordination via Value-oriented Renewable Energy Forecasting Open
Large penetration of renewable energy sources (RESs) brings huge uncertainty into the electricity markets. The current deterministic clearing approach in the day-ahead (DA) market, where RESs participate based on expected production, has b…
View article: Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approach
Tackling Missing Values in Probabilistic Wind Power Forecasting: A Generative Approach Open
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 …
View article: Research on the influence of intra-cavity dispersion on pulse characteristics of a quartic soliton fiber laser
Research on the influence of intra-cavity dispersion on pulse characteristics of a quartic soliton fiber laser Open
We numerically investigate the influence of higher-order dispersion on the dynamics of quartic solitons in a passively mode-locked fiber laser. The simulation results show that the output pulse characteristics of the quartic soliton fiber …
View article: Power Range for Accessing the Filtering Effect in Mode-Locked Fiber Lasers
Power Range for Accessing the Filtering Effect in Mode-Locked Fiber Lasers Open
View article: Probabilistic wind power forecasting resilient to missing values: an adaptive quantile regression approach
Probabilistic wind power forecasting resilient to missing values: an adaptive quantile regression approach Open
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 congest…
View article: Pure-high-even-order dispersion bound solitons complexes in ultra-fast fiber lasers
Pure-high-even-order dispersion bound solitons complexes in ultra-fast fiber lasers Open
Temporal solitons have been the focus of much research due to their fascinating physical properties. These solitons can form bound states, which are fundamentally crucial modes in fiber laser and present striking analogies with their matte…
View article: Deriving Loss Function for Value-oriented Renewable Energy Forecasting
Deriving Loss Function for Value-oriented Renewable Energy Forecasting Open
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 tail…
View article: Fast Constraint Screening for Multi-Interval Unit Commitment
Fast Constraint Screening for Multi-Interval Unit Commitment Open
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…
View article: Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach
Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach Open
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…
View article: Probabilistic Wind Power Forecasting with Missing Values via Adaptive Quantile Regression
Probabilistic Wind Power Forecasting with Missing Values via Adaptive Quantile Regression Open
Missing values challenge the probabilistic wind power forecasting at both parameter estimation and operational forecasting stages. In this paper, we illustrate that we are allowed to estimate forecasting functions for each missing patterns…
View article: Probabilistic Wind Power Forecasting with Missing Values via Adaptive Quantile Regression
Probabilistic Wind Power Forecasting with Missing Values via Adaptive Quantile Regression Open
Missing values challenge the probabilistic wind power forecasting at both parameter estimation and operational forecasting stages. In this paper, we illustrate that we are allowed to estimate forecasting functions for each missing patterns…
View article: Probabilistic wind power forecasting resilient to missing values: an adaptive quantile regression approach
Probabilistic wind power forecasting resilient to missing values: an adaptive quantile regression approach Open
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 congest…
View article: Improved Particle Filter for Non-Gaussian Forecasting-aided State Estimation
Improved Particle Filter for Non-Gaussian Forecasting-aided State Estimation Open
Gaussian assumptions of non-Gaussian noises hinder the improvement of state estimation accuracy. In this paper, an asymmetric generalized Gaussian distribution (AGGD), as a unified representation of various unimodal distributions, is appli…
View article: Efficient Demand Response for Price Spike Mitigation Via Price-Demand Policy
Efficient Demand Response for Price Spike Mitigation Via Price-Demand Policy Open
View article: Probabilistic Wind Power Forecasting Resilient to Missing Values: An Adaptive Quantile Regression Approach
Probabilistic Wind Power Forecasting Resilient to Missing Values: An Adaptive Quantile Regression Approach Open
View article: Wavelength Switchable Vector Soliton Molecular Complexes in Passively Mode-Locked Fiber Lasers
Wavelength Switchable Vector Soliton Molecular Complexes in Passively Mode-Locked Fiber Lasers Open
View article: Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms
Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms Open
Demand response (DR) is regarded as a solution to the issue of high electricity prices in the wholesale market, as the flexibility of the demand can be harnessed to lower the demand level for price reductions. As an across-the-board DR in …
View article: Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms
Targeted Demand Response: Formulation, LMP Implications, and Fast Algorithms Open
Demand response (DR) is regarded as a solution to the issue of high electricity prices in the wholesale market, as the flexibility of the demand can be harnessed to lower the demand level for price reductions. As an across-the-board DR in …
View article: Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model
Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model Open
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…
View article: Efficient Demand Response Location Targeting for Price Spike Mitigation by Exploiting Price-demand Relationship
Efficient Demand Response Location Targeting for Price Spike Mitigation by Exploiting Price-demand Relationship Open
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. F…
View article: A Contextual Bandit Approach for Value-oriented Prediction Interval Forecasting
A Contextual Bandit Approach for Value-oriented Prediction Interval Forecasting Open
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 assum…
View article: Continuous and Distribution-Free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach
Continuous and Distribution-Free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach Open
We present a data-driven approach for probabilistic wind power forecasting\nbased on conditional normalizing flow (CNF). In contrast with the existing,\nthis approach is distribution-free (as for non-parametric and quantile-based\napproach…
View article: An explainable framework for load forecasting of a regional integrated energy system based on coupled features and multi-task learning
An explainable framework for load forecasting of a regional integrated energy system based on coupled features and multi-task learning Open
To extract strong correlations between different energy loads and improve the interpretability and accuracy for load forecasting of a regional integrated energy system (RIES), an explainable framework for load forecasting of an RIES is pro…