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 <h2 id="2-pglib-uc-instances">2. PGLIB-UC Instances</h2>
-<p><a href="https://github.com/power-grid-lib/pglib-uc">PGLIB-UC</a> is a benchmark library curated and maintained by the <a href="https://power-grid-lib.github.io/">IEEE PES Task Force on Benchmarks for Validation of Emerging Power System Algorithms</a>.</p>
+<p><a href="https://github.com/power-grid-lib/pglib-uc">PGLIB-UC</a> is a benchmark library curated and maintained by the <a href="https://power-grid-lib.github.io/">IEEE PES Task Force on Benchmarks for Validation of Emerging Power System Algorithms</a>. These test cases have been used in [KnOsWa20].</p>
 <h3 id="21-pglib-uccalifornia">2.1 PGLIB-UC/California</h3>
 <p>Test cases based on publicly available data from the California ISO. For more details, see <a href="https://github.com/power-grid-lib/pglib-uc">PGLIB-UC case file overview</a>.</p>
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 <h3 id="22-pglib-ucferc">2.2 PGLIB-UC/FERC</h3>
-<p>Test cases based on publicly available unit commitment test instance from the Federal Energy Regulatory Commission. For more details, see <a href="https://github.com/power-grid-lib/pglib-uc">PGLIB-UC case file overview</a>.</p>
+<p>Test cases based on a publicly available <a href="https://www.ferc.gov/industries-data/electric/power-sales-and-markets/increasing-efficiency-through-improved-software-1">unit commitment test case produced by the Federal Energy Regulatory Commission</a>. For more details, see <a href="https://github.com/power-grid-lib/pglib-uc">PGLIB-UC case file overview</a>.</p>
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 <h2 id="3-or-libuc">3. OR-LIB/UC</h2>
-<p><a href="http://people.brunel.ac.uk/~mastjjb/jeb/info.html">OR-LIB</a> is a collection of test data sets for a variety of operations research problems, including unit commitment. The UC instances in OR-LIB are synthetic instances generated by <a href="http://groups.di.unipi.it/optimize/Data/UC.html"><strong>Antonio Frangioni</strong> random UC generator</a>.</p>
+<p><a href="http://people.brunel.ac.uk/~mastjjb/jeb/info.html">OR-LIB</a> is a collection of test data sets for a variety of operations research problems, including unit commitment. The UC instances in OR-LIB are synthetic instances generated by <a href="http://groups.di.unipi.it/optimize/Data/UC.html">Antonio Frangioni's random UC generator</a>. These test cases have been used in [FrGe06] and many other publications.</p>
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 <h2 id="4-tejada19">4. Tejada19</h2>
-<p>Test cases used in the paper <strong>"Which Unit-Commitment Formulation is Best? A Comparison Framework"</strong> by D. Tejada-Arango, S. Lumbreras, P. Sanchez-Martin and A. Ramos (2019).</p>
-<p>These instances are similar to OR-LIB/UC, in the sense that they have also been generated using <a href="http://groups.di.unipi.it/optimize/Data/UC.html">Antonio Frangioni's random instance generator</a>, but are much larger.</p>
+<p>Test cases used in [TeLuSa19]. These instances are similar to OR-LIB/UC, in the sense that they have also been generated using <a href="http://groups.di.unipi.it/optimize/Data/UC.html">Antonio Frangioni's random instance generator</a>, but are much larger.</p>
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