{"title":"印度电力市场每小时现货价格预测","authors":"Paramita Mukherjee, D. Coondoo, P. Lahiri","doi":"10.1177/23210222221108019","DOIUrl":null,"url":null,"abstract":"In this paper, we present a study on forecasting hourly electricity spot prices for India. Forecasting electricity prices is challenging for its special characteristics. Based on hourly data covering several years, ARMAX models are estimated for forecasting for individual regions. Along with ARMA, intra-day, inter-day and hourly variations and seasonalities on weekdays, holidays and festive days are incorporated. Combinations of static and dynamic forecasts are also examined. The results indicate that prices for Sundays and holidays differ significantly from weekdays; also, a clear region-specific difference between prices in winter and summer months is observed. Price behaviour in the Southern region is different from other regions. The fitted models perform well for forecasting horizons of hourly prices of up to five days. The fitted ARMAX models have an easily implementable simple structure. Such forecasts provide valuable insights for policymakers and market participants, as they incorporate several features of the Indian electricity market, including various dimensions of seasonality of demand. JEL Classifications: C53, Q47, C51","PeriodicalId":37410,"journal":{"name":"Studies in Microeconomics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Forecasting Hourly Spot Prices in Indian Electricity Market\",\"authors\":\"Paramita Mukherjee, D. Coondoo, P. Lahiri\",\"doi\":\"10.1177/23210222221108019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a study on forecasting hourly electricity spot prices for India. Forecasting electricity prices is challenging for its special characteristics. Based on hourly data covering several years, ARMAX models are estimated for forecasting for individual regions. Along with ARMA, intra-day, inter-day and hourly variations and seasonalities on weekdays, holidays and festive days are incorporated. Combinations of static and dynamic forecasts are also examined. The results indicate that prices for Sundays and holidays differ significantly from weekdays; also, a clear region-specific difference between prices in winter and summer months is observed. Price behaviour in the Southern region is different from other regions. The fitted models perform well for forecasting horizons of hourly prices of up to five days. The fitted ARMAX models have an easily implementable simple structure. Such forecasts provide valuable insights for policymakers and market participants, as they incorporate several features of the Indian electricity market, including various dimensions of seasonality of demand. JEL Classifications: C53, Q47, C51\",\"PeriodicalId\":37410,\"journal\":{\"name\":\"Studies in Microeconomics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in Microeconomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/23210222221108019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Microeconomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23210222221108019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Forecasting Hourly Spot Prices in Indian Electricity Market
In this paper, we present a study on forecasting hourly electricity spot prices for India. Forecasting electricity prices is challenging for its special characteristics. Based on hourly data covering several years, ARMAX models are estimated for forecasting for individual regions. Along with ARMA, intra-day, inter-day and hourly variations and seasonalities on weekdays, holidays and festive days are incorporated. Combinations of static and dynamic forecasts are also examined. The results indicate that prices for Sundays and holidays differ significantly from weekdays; also, a clear region-specific difference between prices in winter and summer months is observed. Price behaviour in the Southern region is different from other regions. The fitted models perform well for forecasting horizons of hourly prices of up to five days. The fitted ARMAX models have an easily implementable simple structure. Such forecasts provide valuable insights for policymakers and market participants, as they incorporate several features of the Indian electricity market, including various dimensions of seasonality of demand. JEL Classifications: C53, Q47, C51
Studies in MicroeconomicsEconomics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.40
自引率
0.00%
发文量
14
期刊介绍:
Studies in Microeconomics seeks high quality theoretical as well as applied (or empirical) research in all areas of microeconomics (broadly defined to include other avenues of decision science such as psychology, political science and organizational behavior). In particular, we encourage submissions in new areas of Microeconomics such as in the fields of Experimental economics and Behavioral Economics. All manuscripts will be subjected to a peer-review process. The intended audience of the journal are professional economists and young researchers with an interest and expertise in microeconomics and above. In addition to full-length articles MIC is interested in publishing and promoting shorter refereed articles (letters and notes) that are pertinent to the specialist in the field of Microeconomics (broadly defined). MIC will periodically publish special issues with themes of particular interest, including articles solicited from leading scholars as well as authoritative survey articles and meta-analysis on the themed topic. We will also publish book reviews related to microeconomics, and MIC encourages publishing articles from policy practitioners dealing with microeconomic issues that have policy relevance under the section Policy Analysis and Debate.