2022 IEEE 40th Central America and Panama Convention (CONCAPAN)最新文献_第9页

Use of Attention-Based Neural Networks to Short-Term Load Forecasting in the Republic of Panama 基于注意力的神经网络在巴拿马共和国短期负荷预测中的应用

2022 IEEE 40th Central America and Panama Convention (CONCAPAN) Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997752

Vicente Alonso Navarro Valencia, J. Sánchez-Galán

{"title":"Use of Attention-Based Neural Networks to Short-Term Load Forecasting in the Republic of Panama","authors":"Vicente Alonso Navarro Valencia, J. Sánchez-Galán","doi":"10.1109/CONCAPAN48024.2022.9997752","DOIUrl":"https://doi.org/10.1109/CONCAPAN48024.2022.9997752","url":null,"abstract":"One pillar of our society is the use of electricity as an engine of development, Short-Term Load Forecasting (STLF) contributes to the resilience and security of electrical supply, by predicting the amount of electricity that should be generated in the near future. Humanity is currently moving from an energy mix based on fossil fuels to a sustainable energy mix, a green one. One challenge of this shift is to forecast, as accurately as possible, the amount of energy load at any moment. This study compares STLF performed by state-of-the-art Neural Network and SARIMA model. First, demand is predicted with SARIMA model and then with a neural network with attention, in this occasion, the Temporal Fusion Transformer (TFT), next, both techniques are compared. The results show that SARIMA is suitable for STLF, with average performance metric values of MAPE and RMSE, of 0.064 and 101.4 MWh, respectively; when use TFT, prediction accuracy increases with a MAPE of 0.044, and RMSE of 69.2 MWh. This research is presented as a review of the state-of-the-technique and thus establishes a baseline that can be used to forecast National Energy Load in the Republic of Panama.","PeriodicalId":138415,"journal":{"name":"2022 IEEE 40th Central America and Panama Convention (CONCAPAN)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126268619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hierarchical Forecasting of Load Demand With Smart Meter Data for Distribution Networks 基于智能电表数据的配电网负荷需求分层预测

2022 IEEE 40th Central America and Panama Convention (CONCAPAN) Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997671

Omar Rivera-Caballero, Alberto Cogley, M. Rios, Jenifer González, Carlos Boya-Lara

引用次数: 0

Determination of Favourable Conditions for Profitability of an Off-Shore Wind Farm in Mexico 墨西哥海上风电场盈利有利条件的确定

2022 IEEE 40th Central America and Panama Convention (CONCAPAN) Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997632

A. E. Ponce-Martínez, B. B. Hernández-Juárez Posgrado, J. Peña-Antonio, R. Iracheta-Cortez

{"title":"Determination of Favourable Conditions for Profitability of an Off-Shore Wind Farm in Mexico","authors":"A. E. Ponce-Martínez, B. B. Hernández-Juárez Posgrado, J. Peña-Antonio, R. Iracheta-Cortez","doi":"10.1109/CONCAPAN48024.2022.9997632","DOIUrl":"https://doi.org/10.1109/CONCAPAN48024.2022.9997632","url":null,"abstract":"This paper analyzes the conditions for profitability of an off-shore wind farm located off the coast at the municipality of Salina Cruz, Oaxaca, Mexico. Nearby this site there are onshore farms with the highest annual production in Mexico. For the analysis of the wind resource, two virtual stations which have recorded wind speeds at sea during a total period of 42 years are compared. With the wind resource data, Weibull parameters are calculated and then, two different wind turbines are chosen for analyzing and comparing the annual energy production as well as the wake and Joule losses on site. The selection and performance analysis of medium voltage submarine power cables is carried out through copper loss and voltage drop thresholds. An economic analysis is carried out to demonstrate whether the off-shore wind farm is economically viable by assuming an updated cost analysis for initial investment, operation and maintenance expenses, interest rates as well as electricity sell prices. Finally, a sensitivity analysis is carried out to show different scenarios, such as variable energy production and variable electricity sell prices, where the wind project might be economically viable.","PeriodicalId":138415,"journal":{"name":"2022 IEEE 40th Central America and Panama Convention (CONCAPAN)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133132838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geospatial, earth observations and statistical data integration in the Cortés department, Honduras 洪都拉斯cort<s:1>部门的地理空间、地球观测和统计数据整合

2022 IEEE 40th Central America and Panama Convention (CONCAPAN) Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997720

Dania V. Mena, R. Durón, Gracia M. Pineda, J. Bardales, Héctor Villatoro, Gabriela Munguía, Rafael Delgado Elvir, Luis Herrera Maldonado, Javier Hernández, Maloy Portillo, Francisco Torres

{"title":"Geospatial, earth observations and statistical data integration in the Cortés department, Honduras","authors":"Dania V. Mena, R. Durón, Gracia M. Pineda, J. Bardales, Héctor Villatoro, Gabriela Munguía, Rafael Delgado Elvir, Luis Herrera Maldonado, Javier Hernández, Maloy Portillo, Francisco Torres","doi":"10.1109/CONCAPAN48024.2022.9997720","DOIUrl":"https://doi.org/10.1109/CONCAPAN48024.2022.9997720","url":null,"abstract":"Proper territorial data management is critical for territorial planning projects, research, innovation, and the appropriate follow-up to act for the well-being of populations. A multidisciplinary team of professionals established a pilot project named Cortes Data Hub (Centro de Datos de Cortés). It presents several dashboards that show official statistics on the energy sector, mapping the region’s energy demand, data on COVID-19 cases and vaccination rates by municipality or department, and a project using Google Earth that combines post-Eta and Iota observations and a social media campaign for disaster awareness and for the promotion of activities to develop tourism in the San Manuel Municipality. This pilot project shows the importance to observe and monitor various key environmental, health, and socioeconomic data. This will help improve initiatives for local development, disaster prevention and control, and the promotion of the One Health approach. The challenges to overcome are the quality and timing of data. Training more academics, government teams, and decision-makers in the use of new tools for data integration with earth observations are important for the Cortés department’s development.","PeriodicalId":138415,"journal":{"name":"2022 IEEE 40th Central America and Panama Convention (CONCAPAN)","volume":"29 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129871875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0