"A Literature Review of Stochastic Programming and Unit Commitment"
written by Hang Dai, Ni Zhang, Wencong Su,
published by Journal of Power and Energy Engineering, Vol.3 No.4, 2015
has been cited by the following article(s):
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[2] Energy Storage System Analysis Review for Optimal Unit Commitment
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[3] Optimisation et gestion des risques pour la valorisation de la flexibilité énergétique: application aux systèmes d'eau potable
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[4] Evaluati on of long-term start up costs impact on short-term price based operational optimization of a CCGT using MILP
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[5] A Polynomial-time Algorithm with Tight Error Bounds for Single-period Unit Commitment Problem
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[6] Optimal Demand Response Strategy in Electricity Markets through Bi-level Stochastic Short-Term Scheduling
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[7] Fundamentals and recent developments in stochastic unit commitment
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[8] Unit commitment using improved adjustable robust optimisation for large-scale new energy power stations
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[9] Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem
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[10] Fix-and-optimize procedures for solving the long-term unit commitment problem with pumped storages
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[11] Analysis on the interaction between short-term operating reserves and adequacy
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[12] Unit Commitment Problem in Electrical Power System: A Literature Review
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[13] Computational Approach for the Firm's Cost Minimization Problem Using the Selective Infimal Convolution Operator
Computational Economics, 2018
[14] Stochastic Unit Commitment in Microgrids based on Model Predictive Control
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[15] Optimal Booster Station Design and Operation under Uncertain Load
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[16] Forecast-based Optimization of Islanded Microgrids
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[17] Risk-Averse Optimization and its Applications in Power Grids with Renewable Energy Integration
2017
[18] Stochastic modelling of renewable energy sources from operators' point-of-view: A survey
Renewable and Sustainable Energy Reviews, 2017
[19] Ensuring the Reliable Operation of the Power Grid: State-Based and Distributed Approaches to Scheduling Energy and Contingency Reserves
2017
[20] Stochastic Methods Applied to Power System Operations with Renewable Energy: A Review
2016
[21] Treatment of uncertainty for next generation power systems: State-of-the-art in stochastic optimization
Electric Power Systems Research, 2016
[22] Achieving Reliable Generation\ & Delivery of Energy Through Robust Optimization
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[23] Achieving Reliable Generation\& Delivery of Energy Through Robust Optimization
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