=== Primers ===
*'''Chapter 7: "Energy Systems" in the IPCC Fifth Assessment Report (2014)'''<ref>Bruckner T., I.A. Bashmakov, Y. Mulugetta, H. Chum, A. de la Vega Navarro, J. Edmonds, A. Faaij, B. Fungtammasan, A. Garg, E. Hertwich, D. Honnery, D. Infield, M. Kainuma, S. Khennas, S. Kim, H.B. Nimir, K. Riahi, N. Strachan, R. Wiser, and X. Zhang, 2014: Energy Systems. In: ''Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change'' [Edenhofer, O., R. Pichs-Madruga, Y. Sokona, E. Farahani, S. Kadner, K. Seyboth, A. Adler, I. Baum, S. Brunner, P. Eickemeier, B. Kriemann, J. Savolainen, S. Schlömer, C. von Stechow, T. Zwickel and J.C. Minx (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
Available at https://www.ipcc.ch/report/ar5/wg3/energy-systems/</ref>: An overview of "issues related to the mitigation of greenhouse gas emissions (GHG) from the energy supply sector."
*'''"Energy Primer: A Handbook for Energy Market Basics" by the U.S. Federal Energy Regulatory Commission (2020)'''<ref>Federal Energy Regulatory Commission. "Energy Primer: A Handbook of Energy Market Basics." ''Federal Energy Regulatory Commission: Washington, DC, USA'' (2020).
Available at https://www.ferc.gov/sites/default/files/2020-06/energy-primer-2020.pdf</ref>: A primer on wholesale electricity, natural gas, and oil/petroleum markets, as well as energy-related financial markets, in the United States.
=== Textbooks ===
=== Other ===
[https://greeningthegrid.org/toolkits '''Greening the Grid toolkit''' ]: A collection of readings, trainings, and other resources on power grids, renewable energy, energy storage, and electric vehicles.
[https://www.nature.com/collections/bccqhmkbyw/ "Nuclear fusion" in Nature Physics ]''': A collection of articles on the state of nuclear fusion research.
== Online courses and course materials ==
"Computational Methods for the Smart Grid"
''': "[A]n introduction to recent advances in computational methods applied to sustainable energy and the smart grid... provid[ing] students with a broad background in state-of-the-art computational methods that repeatedly arise in these domains, such as machine learning, optimization, and control."▼
[https://www.coursera.org/learn/electric-power-systems '''"Electric Power Systems" on Coursera''' ]: A course covering the "standards and policies of the electric utility industry," including "basic vocabulary used in the business" and an introduction of "the electric power system, from generation of the electricity all the way to the wall plug." ▲
* '''[http://www.cs.cmu.edu/~zkolter/course/15-884/ "Computational Methods for the Smart Grid"]''': "[A]n introduction to recent advances in computational methods applied to sustainable energy and the smart grid... provid[ing] students with a broad background in state-of-the-art computational methods that repeatedly arise in these domains, such as machine learning, optimization, and control."
== Community ==
=== Major conferences ===
[https://pes-gm.org/ IEEE Power & Energy Society General Meeting ]''': One of the [https://www.ieee-pes.org/meetings-and-conferences IEEE Power & Energy Society's] flagship annual conferences, held in North America.
[https://pscc-central.epfl.ch/ Power Systems Computation Conference ]''': A biennial conference held in Europe, focused on computational power system methods.
[https://attend.ieee.org/powertech-2019/ '''PowerTech''' ]: The [https://www.ieee-pes.org/meetings-and-conferences IEEE Power & Energy Society's] anchor conference in Europe, held biennially.
* Also see additional conferences by [https://www.ieee.org/conferences/index.html IEEE] and the [https://www.ieee-pes.org/meetings-and-conferences IEEE Power & Energy Society]
=== Major journals ===
[https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59 '''IEEE Transactions on Power Systems''' ]: Covers the "requirements, planning, analysis, reliability, operation, and economics of electric generating, transmission, and distribution systems for general industrial, commercial, public, and domestic consumption."
[https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165411 '''IEEE Transactions on Smart Grid''' ]: "[A] cross disciplinary and internationally archival journal aimed at disseminating results of research on smart grid that relates to, arises from, or deliberately influences energy generation, transmission, distribution and delivery."
=== Major societies and organizations ===
[https://www.ieee-pes.org/ IEEE Power & Energy Society ]''': "[T]he world's largest forum for sharing the latest in technological developments in the electric power industry, for developing standards that guide the development and construction of equipment and systems, and for educating members of the industry and the general public."
== Libraries and tools ==
[https://powertac.org/ '''PowerTAC''' ]: A power system simulation environment.
[https://us.energypolicy.solutions/docs/ '''Energy Policy Simulator''' ]: A tool to simulate the greenhouse gas emissions effects of various climate and energy policies.
[https://github.com/invenia/OPFSampler.jl/ '''Optimal Power Flow (OPF) Sampler Package''' ]: A Julia package to generate power grid data samples via optimal power flow methods.
== Data ==
=== Electricity system data ===
[https://github.com/catalyst-cooperative/pudl Public Utility Data Liberation (PUDL) Project ]''': A project integrating a variety of United States federal electricity data sources.
*'''United States ISO/RTO data:''' Electricity market data (e.g., prices, supply, and demand) are available online for a number of US independent system operator/regional transmission organization regions, namely [http://www.caiso.com/TodaysOutlook/Pages/prices.aspx CAISO], [http://www.ercot.com/gridinfo ERCOT], [https://www.iso-ne.com/markets-operations ISO-NE], [https://www.misoenergy.org/markets-and-operations/ MISO], [https://www.nyiso.com/energy-market-operational-data NYISO], [https://dataminer2.pjm.com/list PJM], and [https://marketplace.spp.org/ SPP].
[https://github.com/tmrowco/electricitymap-contrib#data-sources '''European electricity market data from electricityMap''' ]: Links to (and parsers for) European power system data.
=== Renewables forecasting contest data ===
[https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IHBANG '''SubseasonalRodeo''' ]: "A benchmark dataset for training and evaluating ''subseasonal forecasting systems''—systems predicting temperature or precipitation 2-6 weeks in advance—in the western contiguous United States."
[https://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest '''American Meteorological Society 2013-2014 Solar Energy Prediction Contest''' ]: Contest data for producing daily forecasts of solar energy.
=== Demand data ===
[https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/1ZNLUY '''Rural Electricity Demand in India (REDI) Dataset''' ]: "The dataset contains detailed information on electricity demand in rural India. The dataset covers 10,000 households and 2,000 rural enterprises across 200 villages in Bihar, Uttar Pradesh, Odisha, and Rajasthan."
Pecan Street] :''' Disaggregated energy and water data.
=== GHG emissions data ===
[https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-methane?tab=overview '''Copernicus global methane data''' ]: Dataset on global methane emissions from 2002 onwards from the European Space Agency.
[https://ampd.epa.gov/ampd/ United States Environmental Protection Agency's Air Markets Program data ]''': Datasets from the US EPA's emissions trading programs. For instance, the Continuous Emissions Monitoring System dataset (also available via the EPA's [ftp://newftp.epa.gov/DMDnLoad/emissions/ FTP site]) provides hourly emissions and generation for many fossil fuel generators in the United States.
*See also: '''[[Remote Sensing Datasets|Satellite imagery datasets]]'''
* '''[[Accelerated Materials Science Datasets|Accelerated materials science datasets]]:''' Datasets that may be useful for research on solar fuels, next-generation battery conducting fluids, or other accelerated materials science applications in the electricity sector.
* '''[[Remote Sensing Datasets|Satellite imagery datasets]]:''' Datasets that may be useful for applications such as power plant emissions detection, power grid mapping, solar panel mapping, etc.
[https://www.google.com/get/sunroof/data-explorer/ '''Project Sunroof by Google''' ]: Detailed estimates of rooftop solar potential based on sunlight and roof space.
== Selected problems ==