A fuzzy-based customer response prediction model for a day-ahead dynamic pricing system
Bibliographic Data
| ID | 21234282 |
|---|---|
| Authors | Amjed Al-Mousa (0000-0002-6427-1008, Princess Sumaya University for Technology), Ayman Faza (0000-0001-6495-7547, Princess Sumaya University for Technology, corresponding author) |
| Year | 2019 |
| Volume | 44 |
| Pages | 265-274 |
| Publication date | 2019-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2018.10.014 |
| OpenAlex | W2896073474 |
| Language | EN |
| Citations received | 4 |
| References cited | 16 |
Demand management · Demand patterns · Demand response · Dynamic demand · Dynamic Pricing · Economics · Electricity · Fuzzy logic · Grid · Microeconomics · Operations research · Smart grid · Telecommunications · Computer Science · Electric Power System Optimization · Energy Load and Power Forecasting · Engineering · Smart Grid Energy Management · Artificial Intelligence
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A Bayesian game theoretic based bidding strategy for demand response aggregators in electricity markets
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,57 |
| Citation span | 2019 - 2021 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |