Data-driven real-time price-based demand response for industrial facilities energy management
Authors:
- Renzhi LuRLRenzhi Lu
- Ruichang BaiRBRuichang Bai
- Yuan HuangYHYuan Huang
- Yuting LiYLYuting Li
- Junhui JiangJJJunhui Jiang
- Yuemin DingYDYuemin Ding
- 1 February 2021
- journal article
- research article
- Published by Elsevier in Applied Energy
- Vol. 283
Abstract
No abstract availableKeywords
Funding Information
- Fundamental Research Funds for the Central Universities
- National Natural Science Foundation of China
This publication has 46 references indexed in Scilit:
- Energy management in manufacturing: From literature review to a conceptual frameworkJournal of Cleaner Production, 2017
- A real-time decision model for industrial load management in a smart gridApplied Energy, 2016
- Electricity price forecasting using sale and purchase curves: The X-ModelEnergy Economics, 2016
- Real-Time Demand Bidding for Energy Management in Discrete Manufacturing FacilitiesIEEE Transactions on Industrial Electronics, 2016
- A computationally efficient electricity price forecasting model for real time energy marketsEnergy Conversion and Management, 2016
- An Online Convex Optimization Approach to Real-Time Energy Pricing for Demand ResponseIEEE Transactions on Smart Grid, 2016
- Extended forecast methods for day-ahead electricity spot prices applying artificial neural networksApplied Energy, 2016
- Assessing the benefits of residential demand response in a real time distribution energy marketApplied Energy, 2016
- A Demand Response Energy Management Scheme for Industrial Facilities in Smart GridIEEE Transactions on Industrial Informatics, 2014
- Mid-term electricity market clearing price forecasting: A multiple SVM approachInternational Journal of Electrical Power & Energy Systems, 2014