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Global Energy Forecasting Competition information


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.[1] GEFCom was first held in 2012 on Kaggle,[2] and the second GEFCom was held in 2014 on CrowdANALYTIX.[3][1]

  1. ^ a b "Global Energy Forecasting Competition 2014". Retrieved June 19, 2014.
  2. ^ "Global Energy Forecasting Competition 2012". Retrieved June 19, 2014.
  3. ^ CrowdANALYTIX

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Global Energy Forecasting Competition

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Group on Energy Forecasting opened Global Energy Forecasting Competition 2017 (GEFCom2017) termed: Hierarchical Probabilistic Load Forecasting. GEFCom2017...

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Probabilistic forecasting

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forecasts. One example of such a rule is the Brier score. Consensus forecast Energy forecasting Forecasting Forecast skill Global Energy Forecasting Competitions...

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Electricity price forecasting

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significance of the differences in forecasting accuracies of the models. Energy forecasting Global Energy Forecasting Competitions Maciejowska, Katarzyna; Uniejewski...

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Wind power forecasting

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Germany over a two-year period. Energy forecasting Global Energy Forecasting Competition has a track for wind power forecasting Devi 2021, p. 80. Devi 2021...

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Quantile regression averaging

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forecasting Energy forecasting Forecasting Global Energy Forecasting Competitions Economic forecasting Prediction interval Probabilistic forecasting Quantile...

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Climate change

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global warming to 1.5 or 2 °C, most scenarios and strategies see a major increase in the use of renewable energy in combination with increased energy...

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Consensus forecast

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the top two performing teams in the price track of the Global Energy Forecasting Competition (GEFCom2014) used variants of QRA. Consensus-based assessment...

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cheapest new-build electricity. From 2011 to 2021, renewable energy grew from 20% to 28% of global electricity supply. Power from sun and wind accounted for...

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Global environmental analysis

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component of forecasting. It is hardly to predict which ‘oracle’ is successful. 'Extrapolation' is effective when tendencies exist. Forecasts are most effective...

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Electricity pricing

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were operating at a loss in 2019. Electricity price forecasting (EPF) is a branch of energy forecasting which focuses on using mathematical, statistical...

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Energy planning

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and futuristic forecasting. Energy planning is often conducted using integrated approaches that consider both the provision of energy supplies and the...

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Kaggle

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Walmart. Kaggle's competitions have resulted in successful projects such as furthering HIV research, chess ratings and traffic forecasting. Geoffrey Hinton...

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OPEC

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Emphasizing the need for a balanced and fair global energy transition, he highlighted the importance of diversifying energy sources and noted significant investments...

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Energy policy of the United Kingdom

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The energy policy of the United Kingdom refers to the United Kingdom's efforts towards reducing energy intensity, reducing energy poverty, and maintaining...

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Energy in Australia

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increasing effects of global warming and human-induced climate change on the global environment, there has been a shift towards renewable energy such as solar...

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Smart city

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2050, urban centers will host 70% of the global population. These societies will consume 80% of the overall energy, generate 75% of total CO2 emissions,...

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Ed Davey

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State for Energy and Climate Change from 2012 to 2015, following Chris Huhne's resignation. Davey focused on increasing competition in the energy market...

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Ecological pyramid

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An ecological pyramid (also trophic pyramid, Eltonian pyramid, energy pyramid, or sometimes food pyramid) is a graphical representation designed to show...

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MetService

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conditions provided by each of the available global models. The primary model configuration for regional forecasting in New Zealand has a horizontal spacing...

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Economy of Taiwan

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Sustainable Development Goals

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Nuclear power

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Penny (December 2020). "Estimating the costs of energy transition scenarios using probabilistic forecasting methods" (PDF). University of Oxford. Archived...

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Theodore Modis

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natural growth in competition as expressed by the logistic function or S-curve to forecast markets, product sales, primary-energy substitutions, the...

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Sustainable energy

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Fossil fuels provide 85% of the world's energy consumption, and the energy system is responsible for 76% of global greenhouse gas emissions. Around 790 million...

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CRA International

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governments. Their practices include: antitrust & competition economics, auctions & competitive bidding, energy, finance, financial economics, forensic services...

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Global surveillance

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backdoor in its encryption products. Strategic Forecasting, Inc., more commonly known as Stratfor, is a global intelligence company offering information to...

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Natural refrigerant

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