{"title":"欧洲私人家庭的实时温度调整天然气储蓄:2022年德国天然气市场研究","authors":"Fabian Kächele, O. Grothe","doi":"10.1145/3599733.3600246","DOIUrl":null,"url":null,"abstract":"Natural gas is one of Europe’s main sources of energy and Europe is heavily dependent on imports from foreign countries. Since the imports from the main energy supplier Russia decreased massively due to the war in 2022, European authorities called for savings. Therefore the German Bundesnetzagentur publishes a temperature-adjusted reference consumption to measure these savings in Germany. However, the temperature adjustment is only done by looking for previous days with a similar temperature and using their consumption as a reference value. In this paper, we investigate the natural gas savings of private households for the example of Germany in 2022. We study several alternative filtering and a machine-learning approach to calculate the temperature-adjusted reference consumption. Besides the pure temperature information, we propose to further enrich the data with integral and derivative elements inspired by PID controllers originally stemming from electrical engineering. Our developed framework adaptively adjusting for temperature is new in the literature and may be easily applied to other use cases, such as individual buildings’ consumption, or transferred to variables other than gas consumption.","PeriodicalId":114998,"journal":{"name":"Companion Proceedings of the 14th ACM International Conference on Future Energy Systems","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Realtime temperature-adjusted natural gas savings of European private households: A study on the German gas market in 2022\",\"authors\":\"Fabian Kächele, O. Grothe\",\"doi\":\"10.1145/3599733.3600246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Natural gas is one of Europe’s main sources of energy and Europe is heavily dependent on imports from foreign countries. Since the imports from the main energy supplier Russia decreased massively due to the war in 2022, European authorities called for savings. Therefore the German Bundesnetzagentur publishes a temperature-adjusted reference consumption to measure these savings in Germany. However, the temperature adjustment is only done by looking for previous days with a similar temperature and using their consumption as a reference value. In this paper, we investigate the natural gas savings of private households for the example of Germany in 2022. We study several alternative filtering and a machine-learning approach to calculate the temperature-adjusted reference consumption. Besides the pure temperature information, we propose to further enrich the data with integral and derivative elements inspired by PID controllers originally stemming from electrical engineering. Our developed framework adaptively adjusting for temperature is new in the literature and may be easily applied to other use cases, such as individual buildings’ consumption, or transferred to variables other than gas consumption.\",\"PeriodicalId\":114998,\"journal\":{\"name\":\"Companion Proceedings of the 14th ACM International Conference on Future Energy Systems\",\"volume\":\"146 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Companion Proceedings of the 14th ACM International Conference on Future Energy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3599733.3600246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion Proceedings of the 14th ACM International Conference on Future Energy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3599733.3600246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Realtime temperature-adjusted natural gas savings of European private households: A study on the German gas market in 2022
Natural gas is one of Europe’s main sources of energy and Europe is heavily dependent on imports from foreign countries. Since the imports from the main energy supplier Russia decreased massively due to the war in 2022, European authorities called for savings. Therefore the German Bundesnetzagentur publishes a temperature-adjusted reference consumption to measure these savings in Germany. However, the temperature adjustment is only done by looking for previous days with a similar temperature and using their consumption as a reference value. In this paper, we investigate the natural gas savings of private households for the example of Germany in 2022. We study several alternative filtering and a machine-learning approach to calculate the temperature-adjusted reference consumption. Besides the pure temperature information, we propose to further enrich the data with integral and derivative elements inspired by PID controllers originally stemming from electrical engineering. Our developed framework adaptively adjusting for temperature is new in the literature and may be easily applied to other use cases, such as individual buildings’ consumption, or transferred to variables other than gas consumption.