Polyhedral predictive regions for power system applications

Polyhedral predictive regions for power system applications

Despite substantial improvement in the development of forecasting approaches, conditional and dynamic uncertainty estimates ought to be accommodated in decision-making in power system operation and market, in order to yield either cost-optimal decisions in expectation, or decision with probabilistic...

Saved in:

書目詳細資料
Main Authors:	Golestaneh, Faranak, Pinson, Pierre, Gooi, Hoay Beng
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2019
主題:	Box Uncertainty Sets Engineering::Electrical and electronic engineering Probabilistic Forecasting
在線閱讀:	https://hdl.handle.net/10356/84192 http://hdl.handle.net/10220/50181
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Generation and evaluation of space–time trajectories of photovoltaic power
由: Golestaneh, Faranak, et al.
出版: (2017)

Leveraging sanitized data for probabilistic electricity market prediction: a Singapore case study
由: Xu, Ning Zhou, et al.
出版: (2024)

Uncertainty quantification of photovoltaic power generation
由: Faranak Golestaneh
出版: (2017)

Toward optimal energy management of microgrids via robust two-stage optimization
由: Hu, Wuhua, et al.
出版: (2020)

Framework for network-constrained cooperative trading of multi-microgrid systems
由: Isuru, Mohasha, et al.
出版: (2021)

DATA-DRIVEN POST-PROCESSING OF ENSEMBLE FORECASTS FOR IMPROVED ACCURACY IN SOLAR FORECASTING
由: GOKHAN MERT YAGLI
出版: (2020)

Development of power electronics and control system III
由: Gooi, Hoay Beng.
出版: (2008)

The role of macroeconomic and policy uncertainty in density forecast dispersion
由: LI, You, et al.
出版: (2021)

Fusion of probabilistic projections of sea‐level rise
由: Grandey, Benjamin S., et al.
出版: (2024)

Constraint-admissible sets for systems with soft constraints and their application in model predictive control
由: Wang, C., et al.
出版: (2014)

Stochastic self-triggered model predictive control for linear systems with probabilistic constraints
由: Dai, Li, et al.
出版: (2020)

Forecasting day-ahead electricity prices of Singapore through ARIMA and wavelet-ARIMA
由: Carpio, Kristine Joy E., et al.
出版: (2012)

Application of the kriging-based response surface method to the system reliability of soil slopes
由: Zhang, J., et al.
出版: (2014)

Fuzzy logic approach in power system fault section identification
由: Chang, C.S., et al.
出版: (2014)

Uncertainty Matters: Bayesian Probabilistic Forecasting for Residential Smart Meter Prediction, Segmentation, and Behavioral Measurement and Verification
由: Roth, Jonathan, et al.
出版: (2021)

A new flexible power quality conditioner with model predictive control
由: Ye, Jian, et al.
出版: (2020)

Distribution-balanced federated learning for fault identification of power lines
由: Wang, Tianjing, et al.
出版: (2023)

An improved lithium-ion battery model with temperature prediction considering entropy
由: Gooi, Hoay Beng, et al.
出版: (2013)

Forecasting Metro trail transit 3 ridership using univariate box-Jenkins methodology
由: Pineda, Stephanie Kristen C., et al.
出版: (2009)

Stochastic backward/forward sweep power flow analysis for islanded microgrids
由: Subramanian, Lalitha, et al.
出版: (2018)

Hierarchical probabilistic fusion framework for matching and merging of 3-D occupancy maps
由: Yue, Yufeng, et al.
出版: (2019)

Risk management of Long Term Infrastructure Projects "PPP-BOT projects" by using Uncertainty, Probabilistic and Stochastic Methods and Models
由: Attarzadeh, M., et al.
出版: (2014)

Role of Uncertainity in Soil Hydraulic Properties in Rainfall-Induced Landslides
由: ANASTASIA MARIA SANTOSO
出版: (2011)

Event exchangeability: Probabilistic sophistication without continuity or monotonicity
由: Hong, C.S., et al.
出版: (2011)

Multi-meteorological-factor-based graph modeling for photovoltaic power forecasting
由: Cheng, Lilin, et al.
出版: (2022)

Gaussian Process Learning-based Probabilistic Optimal Power Flow
由: Pareek, Parikshit, et al.
出版: (2021)

Designing high-order power-source synchronous current converters for islanded and grid-connected microgrids
由: Ashabani, Mahdi, et al.
出版: (2020)

Adaptive short-term load forecasting using artificial neural networks
由: Gooi, Hoay Beng.
出版: (2008)

Edge intelligence for smart grid: a survey on application potentials
由: Gooi, Hoay Beng, et al.
出版: (2024)

A practical guide to harnessing the HAR volatility model
由: CLEMENTS, Adam, et al.
出版: (2021)

A practical guide to harnessing the HAR volatility model
由: CLEMENTS, Adam, et al.
出版: (2021)

Procurement of interruptible load services in electricity supply systems
由: Toh, G. K., et al.
出版: (2013)

Measles outbreak detection in Metro Manila: Comparisons between ARIMA and INAR models
由: Paman, Joshua Mari J., et al.
出版: (2017)

Learning compliant box-in-box insertion through haptic-based robotic teleoperation
由: Kana, Sreekanth, et al.
出版: (2024)

A trust-region based sequential linear programming approach for AC optimal power flow problems
由: Sampath, Lahanda Purage Mohasha Isuru, et al.
出版: (2020)

Forecasting in uncertain times
由: Lugtu, Reynaldo C.
出版: (2021)

Stabilizing droop variation of converter-connected generation in autonomous microgrids with virtual inertia control
由: Subramanian, Lalitha, et al.
出版: (2019)

Efficient processing of probabilistic set-containment queries on uncertain set-valued data
由: Zhang, X., et al.
出版: (2014)

Applying rough sets to market timing decisions
由: Shen, L., et al.
出版: (2014)

Distributed optimal tie-line power flow control for multiple interconnected AC microgrids
由: Liu, Yun, et al.
出版: (2019)