Adrián EP

Mathematician. Stochastic Programming and Power Systems

[SEIO @SEIO_ES]

🏆 Ya está disponible la nota de prensa sobre el fallo de la VII edición de los Premios SEIO–Fundación BBVA 2026, que reconocen contribuciones españolas de alto impacto en Estadística e Investigación Operativa.

📰 ¡No te la pierdas!

🔗 https://t.co/ej9LM4CFLY

[SEIO @SEIO_ES]

🏆 Mejor contribución metodológica en Investigación Operativa:

Distributionally robust stochastic programs with side information based on trimmings. Juan Miguel Morales González y Adrián Esteban Pérez.

[Agnes @agnesofficial]

EGO. FIRST LIVE PERFORMANCE. #P3GULD
https://t.co/6dMG33bTp6

[alphaXiv @askalphaxiv]

alphaXiv now supports Google Scholar Integration!

Add the link to your Scholar profile and we'll automatically sync all your arXiv papers.

[Adrián EP @adrian_esteb_94]

Managerial insights: Helps retailers and system operators improve forecasting and optimize #greenenergy management, all while safeguarding #data privacy 🔒#Flexibility #LoadForecasting #CongestionManagement
Joint work with Derek Bunn from @LBS and Yashar Ghiassi-Farrokhfal

[Adrián EP @adrian_esteb_94]

📢 Attention #EnergyForecasters, #EnergyRetailers, and #SystemOperators: Excited to introduce our latest paper: "Estimating the Unobservable Components of Electricity Demand Response with Inverse Optimization"! ⚡📊🔌
https://t.co/6lEParZMsc

[Adrián EP @adrian_esteb_94]

Key contributions:• Domain impact: First to estimate hidden #flexibility in #electricitydemand without real-time device data using inverse optimization• Experim. Results: Validated on real-world data,outperforming traditional and machine learning models in #loadforecasting ⚙️

[Tobias Achterberg @AchterbergT]

MIPLIB 2024 submissions open: https://t.co/CIbJGJO4NU
Submit all instances you can share!
Closes: 30.11.2024
Restrictions: Mixed-integer linear programs (includes integer programs + indicator / SOS constraints).

[arXiv math.OC Optimization and Control @mathOCb]

Yves Rychener, Adrian Esteban-Perez, Juan M. Morales, Daniel Kuhn: Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources https://t.co/dHaiQDlX07 https://t.co/sT7XRbXl4q

[Xavier Bresson @xbresson]

My new favorite easy-to-use interactive 3D visualization library is Plotly!
https://t.co/1bl6oJz79c

Here is a visualization of the CIFAR dataset where images are first projected into 2,048-dimensional hidden vectors using InceptionV3 and then reduced to 3D using UMAP.

[AI4OPT @AI4OPT]

AI4OPT Dir. @PVanHentenryck gives talk during #EURO2024 on fusing learning and optimization for engineering applications. Van Hentenryck Highlights the potential of optimization proxies. Read more: https://t.co/erpxcI9qq9

[National Energy System Operator @neso_energy]

🦁 See how national demand for electricity fluctuated during last night’s Netherlands vs England game at #EURO2024 ⚽ We experienced demand increase by 1GW due to the TV pick up effect as the nation grabbed their half time refreshments. 📈 As the second half kicked off demand for electricity fell until the full time whistle caused a 740MW increase in demand.

Learn more about TV pick up: https://t.co/lBBEuWBTeL

[Adrián EP @adrian_esteb_94]

Nice days in Stockholm talking about from load flexibility to better forecast accuracy via inverse optimization ! 🇸🇪 📈⚡️

[Adrián EP @adrian_esteb_94]

@JomauxJulien The aggregation effect of weather-dependent renewable sources makes the comparison challenging. Also the spatial-time dependence plays an important role even more than correlation.

[Adrián EP @adrian_esteb_94]

Next week I will talk about #LoadForecasting and #DemandFlexibility #Energy #TimeSeries #Optimization #DataDriven ⚡ 🔮 💹 at "The Netherlands Operations Management and Logistics Conference 2024". Please reach me out if you want to talk about energy and forecasting topics

[Adrián EP @adrian_esteb_94]

@bengtxyz @energy_charts_d I see ! Thank you for your explanation!

[Adrián EP @adrian_esteb_94]

@bengtxyz @energy_charts_d Wind energy in the plot is only onshore right ? Offshore wind energy probably exhibits a different time series pattern even in an aggregated level.

[Adrián EP @adrian_esteb_94]

@lihua_lei_stat @VC31415 @syrgkanis You are welcome ! Hopefully you can find sharp rates in the high dimensional case.

[Adrián EP @adrian_esteb_94]

@lihua_lei_stat @VC31415 @syrgkanis I know that Evarist Giné worked on this topic some decades ago but https://t.co/yMpzIgqNea could be helpful.