Proceedings of the Ninth International Conference on Future Energy Systems最新文献_第10页

Relational or Non-Relational?: A Comparative Evaluation of Database Solutions for Energy Consumption Data 关系型还是非关系型?能源消耗数据数据库解决方案的比较评价

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3212067

Ambreen Zaina, A. Reinhardt, Jana Huchtkoetter

引用次数: 1

Usability of IT-Security in Smart Grids 智能电网中it安全的可用性

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3212036

A. D. Patil, H. Meer

引用次数: 4

Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks 数值天气预报数据免费太阳能预测与神经网络

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3210279

Vinayak Sharma, Umit Cali, V. Hagenmeyer, R. Mikut, J. Á. G. Ordiano

{"title":"Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks","authors":"Vinayak Sharma, Umit Cali, V. Hagenmeyer, R. Mikut, J. Á. G. Ordiano","doi":"10.1145/3208903.3210279","DOIUrl":"https://doi.org/10.1145/3208903.3210279","url":null,"abstract":"The worldwide increase in renewable energy penetration levels has made accuracy, availability, and affordability of wind and solar energy forecasting systems an integral part of the modern power grids. The present paper describes an approach to forecasting one-day-ahead photovoltaic (PV) power generation without the use of numerical weather prediction (NWP) data. The presented approach uses a closed loop non-linear autoregressive artificial neural network (CL-NAR-ANN) model with only the historical generated PV power data as input. In case of emergency, if the communication channel with the weather provider fails, the whole forecasting system runs a risk of failing. Also, purchasing NWP data might be too expensive for smaller utilities. In such situations, NWP data free models can provide cost-effective and reasonably accurate PV power forecasts, which can act as a good backup solution. Furthermore, the model is evaluated using a dataset from the Global Energy Forecasting Competition of 2014 (GEFCom14) and its results are compared to other data-driven models such as polynomial and artificial neural network (ANN) models with and without NWP data as input. The results suggest that the CL-NAR-ANN model delivers acceptable forecasts and outperforms other NWP free models by a margin of 8% in terms of root mean square error, hence supporting the possibility of obtaining acceptable forecasts using the CL-NAR-ANN.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125843653","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: 12

The Maximum Transmission Switching Flow Problem 最大传输交换流问题

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3208910

Alban Grastien, Ignaz Rutter, D. Wagner, Franziska Wegner, Matthias Wolf

引用次数: 5

Extracting the Full Potential of Voltage 提取电压的全部潜力

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3208944

Rohit Gupta, K. Ramamritham

引用次数: 1

Design and Validation of a Smart Charging Algorithm for Power Quality Control in Electrical Distribution Systems 配电系统电能质量控制智能充电算法的设计与验证

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-06-12 DOI: 10.1145/3208903.3212031

A. Alyousef, Dominik Danner, F. Kupzog, H. Meer

引用次数: 1

Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices 住宅柔性装置面向用户的自适应直接负载控制

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-05-09 DOI: 10.1145/3208903.3208924

Davide Frazzetto, B. Neupane, T. Pedersen, Thomas D. Nielsen

{"title":"Adaptive User-Oriented Direct Load-Control of Residential Flexible Devices","authors":"Davide Frazzetto, B. Neupane, T. Pedersen, Thomas D. Nielsen","doi":"10.1145/3208903.3208924","DOIUrl":"https://doi.org/10.1145/3208903.3208924","url":null,"abstract":"Demand Response (DR) schemes are effective tools to maintain a dynamic balance in energy markets with higher integration of fluctuating renewable energy sources. DR schemes can be used to harness residential devices' flexibility and to utilize it to achieve social and financial objectives. However, existing DR schemes suffer from low user participation as they fail at taking into account the users' requirements. First, DR schemes are highly demanding for the users, as users need to provide direct information, e.g. via surveys, on their energy consumption preferences. Second, the user utility models based on these surveys are hard-coded and do not adapt over time. Third, the existing scheduling techniques require the users to input their energy requirements on a daily basis. As an alternative, this paper proposes a DR scheme for user-oriented direct load-control of residential appliances operations. Instead of relying on user surveys to evaluate the user utility, we propose an online data-driven approach for estimating user utility functions, purely based on available load consumption data, that adaptively models the users' preference over time. Our scheme is based on a day-ahead scheduling technique that transparently prescribes the users with optimal device operation schedules that take into account both financial benefits and user-perceived quality of service. To model day-ahead user energy demand and flexibility, we propose a probabilistic approach for generating flexibility models under uncertainty. Results on both real-world and simulated datasets show that our DR scheme can provide significant financial benefits while preserving the user-perceived quality of service.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"408 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123536976","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: 11

Utilizing Device-level Demand Forecasting for Flexibility Markets 利用灵活市场的设备级需求预测

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-05-02 DOI: 10.1145/3208903.3208922

B. Neupane, T. Pedersen, B. Thiesson

{"title":"Utilizing Device-level Demand Forecasting for Flexibility Markets","authors":"B. Neupane, T. Pedersen, B. Thiesson","doi":"10.1145/3208903.3208922","DOIUrl":"https://doi.org/10.1145/3208903.3208922","url":null,"abstract":"The uncertainty in the power supply due to fluctuating Renewable Energy Sources (RES) has severe (financial and other) implications for energy market players. In this paper, we present a device-level Demand Response (DR) scheme that captures the atomic (all available) flexibilities in energy demand and provides the largest possible solution space to generate demand/supply schedules that minimize market imbalances. We evaluate the effectiveness and feasibility of widely used forecasting models for device-level flexibility analysis. In a typical device-level flexibility forecast, a market player is more concerned with the utility that the demand flexibility brings to the market, rather than the intrinsic forecast accuracy. In this regard, we provide comprehensive predictive modeling and scheduling of demand flexibility from household appliances to demonstrate the (financial and otherwise) viability of introducing flexibility-based DR in the Danish/Nordic market. Further, we investigate the correlation between the potential utility and the accuracy of the demand forecast model. Furthermore, we perform a number of experiments to determine the data granularity that provides the best financial reward to market players for adopting the proposed DR scheme. A cost-benefit analysis of forecast results shows that even with somewhat low forecast accuracy, market players can achieve regulation cost savings of 54% of the theoretically optimal.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131727503","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: 11

Energy Disaggregation for SMEs using Recurrence Quantification Analysis 基于递归量化分析的中小企业能源分解

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2018-02-28 DOI: 10.1145/3208903.3210280

Laura Hattam, D. Greetham

引用次数: 7

Enabling Self-aware Smart Buildings by Augmented Reality 通过增强现实实现自我感知的智能建筑

Proceedings of the Ninth International Conference on Future Energy Systems Pub Date : 2017-08-17 DOI: 10.1145/3208903.3208943

Muhammad Aftab, Chi-Kin Chau

{"title":"Enabling Self-aware Smart Buildings by Augmented Reality","authors":"Muhammad Aftab, Chi-Kin Chau","doi":"10.1145/3208903.3208943","DOIUrl":"https://doi.org/10.1145/3208903.3208943","url":null,"abstract":"Conventional HVAC control systems are usually incognizant of the physical structures and materials of buildings. These systems merely follow pre-set HVAC control logic based on abstract building thermal response models, which are rough approximations to true physical models, ignoring dynamic spatial variations in built environments. To enable more accurate and responsive HVAC control, this paper introduces the notion of self-aware smart buildings, such that buildings are able to explicitly construct physical models of themselves (e.g., incorporating building structures and materials, and thermal flow dynamics). The question is how to enable self-aware buildings that automatically acquire dynamic knowledge of themselves. This paper presents a novel approach using augmented reality. The extensive user-environment interactions in augmented reality not only can provide intuitive user interfaces for building systems, but also can capture the physical structures and possibly materials of buildings accurately to enable real-time building simulation and control. This paper presents a building system prototype incorporating augmented reality, and discusses its applications.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121003019","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: 10