Eslam Al Hassan
Electrical and Electronic Engineering · 2018
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 17 citations into it
- Control and Systems Engineering — 6 citations into it
- Building and Construction — 5 citations into it
Whom Eslam Al Hassan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Alberto Leon-Garcia (in Electrical and Electronic Engineering)
- Hamed Mohsenian Rad (in Electrical and Electronic Engineering)
- Kai Man Tsui (in Electrical and Electronic Engineering)
- Shing-Chow Chan (in Electrical and Electronic Engineering)
Papers from Eslam Al Hassan's perspective
Ordered by how strongly the researchers Eslam Al Hassan trusts endorse each paper. Same corpus, a different order for every researcher.
- Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments (IEEE Transactions on Smart Grid)
- Residential implementation of critical-peak pricing of electricity
- Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid (IEEE PES Innovative Smart Grid Technologies Conference)
- Real-Time Demand Response Model (IEEE Transactions on Smart Grid)
- Demand Response Optimization for Smart Home Scheduling Under Real-Time Pricing (IEEE Transactions on Smart Grid)
- Demand Response in Electricity Markets: An Overview (IEEE Power Engineering Society General Meeting)
- A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (IEEE Communications Surveys and Tutorials)
- Smart home energy management system using IEEE 802.15.4 and zigbee (IEEE transactions on consumer electronics)
- Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy
- Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR (IEEE Transactions on Smart Grid)