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Global Energy Forecasting Competition
The Global Energy Forecasting Competition (GEFCom) is a competition conducted by a team led by Dr. Tao Hong that invites submissions around the world for forecasting energy demand. GEFCom was first held in 2012 on Kaggle, and the second GEFCom was held in 2014 on CrowdANALYTIX. GEFCom 2017 IEEE Working Group on Energy Forecasting opened Global Energy Forecasting Competition 2017 (GEFCom2017) termed: Hierarchical Probabilistic Load Forecasting. GEFCom2017 brought together state-of-the-art techniques and methodologies for hierarchical probabilistic energy forecasting. The competition featured a bi-level setup: a three-month qualifying match that included two tracks, and a one-month final match on a large-scale problem. In total 177 academic and company teams enrolled the competition. Qualifying match defined data track winners: * Ján Dolinský, Mária Starovská and Robert Toth (Tangent Works, Slovakia) * Andrew J. Landgraf (Battelle, USA) * Slawek Smyl (Uber Technologies, USA) a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Kaggle
Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle was first launched in 2010 by offering machine learning competitions and now also offers a public data platform, a cloud-based workbench for data science, and Artificial Intelligence education. Its key personnel were Anthony Goldbloom and Jeremy Howard. Nicholas Gruen was the founding chair succeeded by Max Levchin. Equity was raised in 2011 valuing the company at $25.2 million. On 8 March 2017, Google announced that they were acquiring Kaggle. Kaggle community In June 2017, Kaggle claimed it surpassed 1 million registered users and as of 2021 over 8 million. The users come from 194 countries. By March 2017, the Two Si ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
International Institute Of Forecasters
The International Institute of Forecasters (IIF) is a non-profit organization based in Medford, Massachusetts and founded in 1981 that describes itself as "dedicated to developing and furthering the generation, distribution, and use of knowledge on forecasting." Publications The IIF publishes the following: * Foresight: The International Journal of Applied Forecasting * International Journal of Forecasting, published in collaboration with Elsevier * The Oracle Conferences The IIF organizes the annual International Symposium on Forecasting, held in a different location each year. They have also organized and sponsored other conferences and workshops. IIF has collaborated with other organizations such as the European Central Bank in organizing workshops and conferences. Other activities The International Institute of Forecasters sponsored the M3 competition, a forecasting competition whose results were published in a special issue of the International Journal of Forecasting th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
International Journal Of Forecasting
The ''International Journal of Forecasting'' is a quarterly peer-reviewed scientific journal on forecasting. It is published by Elsevier on behalf of the International Institute of Forecasters. Its objective is to "unify the field of forecasting and to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers". The journal was established in 1985. According to the ''Journal Citation Reports'', the journal has a 2021 impact factor of 7.022. Editors-in-chief The editors-in-chief of the journal have been: * Pierre Pinson (2019–) * Esther Ruiz (2019) * Rob J. Hyndman (2005–2018) * Jan G. de Gooijer (1998–2004) * Robert Fildes (1988–1998) * J. Scott Armstrong (1988–1989) * Spyros Makridakis (1985–1987) References External links * Statistics journals Quarterly journals Elsevier academic journals Publications established in 1985 English-language journals {{Academic-journal-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Probabilistic Forecasting
Probabilistic forecasting summarizes what is known about, or opinions about, future events. In contrast to single-valued forecasts (such as forecasting that the maximum temperature at a given site on a given day will be 23 degrees Celsius, or that the result in a given football match will be a no-score draw), probabilistic forecasts assign a probability to each of a number of different outcomes, and the complete set of probabilities represents a probability forecast. Thus, probabilistic forecasting is a type of probabilistic classification. Weather forecasting represents a service in which probability forecasts are sometimes published for public consumption, although it may also be used by weather forecasters as the basis of a simpler type of forecast. For example, forecasters may combine their own experience together with computer-generated probability forecasts to construct a forecast of the type "we expect heavy rainfall". Sports betting is another field of application where prob ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Solar Power Forecasting
Solar power forecasting is the process of gathering and analyzing data in order to predict solar power generation on various time horizons with the goal to mitigate the impact of solar intermittency. Solar power forecasts are used for efficient management of the electric grid and for power trading. As major barriers to solar energy implementation, such as materials cost and low conversion efficiency, continue to fall, issues of intermittency and reliability have come to the fore. The intermittency issue has been successfully addressed and mitigated by solar forecasting in many cases. Information used for the solar power forecast usually includes the Sun´s path, the atmospheric conditions, the scattering of light and the characteristics of the solar energy plant. Generally, the solar forecasting techniques depend on the forecasting horizon * ''Nowcasting'' (forecasting 3–4 hours ahead), * ''Short-term forecasting'' (up to seven days ahead) and * ''Long-term forecasti ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
IEEE Power & Energy Society
The IEEE Power & Energy Society (IEEE PES), formerly the IEEE Power Engineering Society, is the oldest society of the Institute of Electrical and Electronics Engineers (IEEE) focused on the scientific and engineering knowledge about electric power and energy In physics, energy (from Ancient Greek: ἐνέργεια, ''enérgeia'', “activity”) is the quantitative property that is transferred to a body or to a physical system, recognizable in the performance of work and in the form of hea .... "... effective April 22, 2008 ... is the oldest IEEE Society, and will celebrate its 125th anniversary in 2009". PES Technical Council On 14 January 2016, the IEEE PES Governing Board approved the PES Technical Committee reorganization. This resulted in twenty coordinating and technical committees as follows: *Intelligent Grid and Emerging Technologies Coordinating Committee *Marine Systems Coordinating Committee *Wind and Solar Power Coordinating Committee Technical Com ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Wind Power Forecasting
A wind power forecast corresponds to an estimate of the expected production of one or more wind turbines (referred to as a wind farm) in the near future, up to a year. Forecast are usually expressed in terms of the available power of the wind farm, occasionally in units of energy, indicating the power production potential over a time interval. Time scales of forecasts Forecasting of the wind power generation may be considered at different time scales, depending on the intended application: * ''very short-term'' forecasts (from seconds up to minutes) are used for the real-time turbine control and electrical grid management, as well as for market clearing; * ''short-term'' forecasts (from 30 minutes up to hours) are used for dispatch planning, intelligent load shedding decisions; * ''medium-term'' forecasts (from 6 hours up to a day) are used for to make decisions for switching the turbine on or off for safety or conditions on the market; * ''long-term'' forecasts (from a day up ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Yahoo! Finance
Yahoo! Finance is a media property that is part of the Yahoo! network. It provides financial news, data and commentary including stock quotes, press releases, financial reports, and original content. It also offers some online tools for personal finance management. In addition to posting partner content from other web sites, it posts original stories by its team of staff journalists. It is ranked 20th by SimilarWeb on the list of largest news and media websites. In 2017 Yahoo! Finance added the feature to look at news surrounding cryptocurrency. It lists over 9,000 unique coins including Bitcoin and Ethereum Ethereum is a decentralized, open-source blockchain with smart contract functionality. Ether ( Abbreviation: ETH; sign: Ξ) is the native cryptocurrency of the platform. Among cryptocurrencies, ether is second only to bitcoin in market cap .... See also * Google Finance * MSN Money References * https://finance.yahoo.com/portfolios External links Yahoo! Fin ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Energy Forecasting
Energy forecasting includes forecasting demand ( load) and price of electricity, fossil fuels (natural gas, oil, coal) and renewable energy sources (RES; hydro, wind, solar). Forecasting can be both expected price value and probabilistic forecasting. Background When electricity sectors were regulated, utility monopolies used short-term load forecasts to ensure the reliability of supply and long-term demand forecasts as the basis for planning and investing in new capacity. However, since the early 1990s, the process of deregulation and the introduction of competitive electricity markets have been reshaping the landscape of the traditionally monopolistic and government-controlled power sectors. In many countries worldwide, electricity is now traded under market rules using spot and derivative contracts. At the corporate level, electricity load and price forecasts have become a fundamental input to energy companies’ decision making mechanisms. The costs of over- or undercontrac ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
