首页> 外文会议>Information technologies in environmental engineering >AKX - An Exchange for Predicting Water Dam Levels in Australia
【24h】

AKX - An Exchange for Predicting Water Dam Levels in Australia

机译:AKX-预测澳大利亚水坝水位的交易所

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The Australian population in rural and urban areas is heavily influenced and affected by such water shortages, either economically or in their life style. Managing water resources is therefore seen as a critical environmental, social and economic issue. Good forecasts can provide better understanding for the current situation (e.g. drought severity) and consequently improve decision making.rnPrediction markets have long proved to successfully forecast events in a wide range of applications. They seem to be a promising tool for aggregating and at the same time publishing information about water availability.rnWith the Australian Knowledge Exchange (AKX) we launched a prediction market, in which people were invited to trade their expectations about future dam levels. Our results show that traders are able to forecast water dam levels quite accurately. Nevertheless, a simple self-developed model based on historic data beats the market forecast in half of the cases. Experts seem reluctant - due to various reasons - to join and participate in (water related) prediction markets.rnIn summary, our first experiment results show that markets are a promising approach to forecast Natural Resource Management related figures.rnFurther improvements are discussed which may help to increase prediction accuracy in future applications.
机译:无论在经济上还是生活方式上,澳大利亚农村和城市地区的人口都受到这种缺水的严重影响。因此,水资源管理被视为一个关键的环境,社会和经济问题。良好的预测可以更好地了解当前情况(例如干旱严重程度),从而改善决策制定能力。rn长期以来,预测市场已被证明可以成功预测各种应用中的事件。它们似乎是汇总和同时发布有关水供应信息的有前途的工具。通过澳大利亚知识交易所(AKX),我们启动了一个预测市场,邀请人们就他们对未来大坝水位的期望进行交易。我们的结果表明,交易者能够非常准确地预测水坝水位。但是,基于历史数据的简单自行开发模型在一半情况下都超过了市场预测。由于各种原因,专家们似乎不愿意加入和参与(与水有关的)预测市场。总而言之,我们的第一个实验结果表明,市场是预测自然资源管理相关数字的一种有前途的方法。讨论了进一步的改进可能会有所帮助以提高未来应用中的预测准确性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号