purpose: to compare corneal biomechanical properties and intraocular pressure (iop) in eyes with pseudophakic bullous keratopathy (pbk) before and after descemet stripping automated endothelial keratoplasty (dsaek). methods: this prospective non-randomizedintrasubject comparative study was conducted on 44eyes of 22 patients with the diagnosis ofpbk who underwent dsaek in one eye.intraocular pre...

in this present study the dissolved air flotation (daf) system was investigated for the treatment of kermanshah oil refinery wastewater. the effect of three parameters on flotation efficiency including of flow rate (outflow from the flotation tank), saturation pressure and coagulant dosage on chemical oxygen demand (cod) removal was examined experimentally. all the experiments were done under a...

We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response pr...

Smart grids have become a topic of intensive research, development, and deployment across the world over the last few years. The engagement of consumer sectors—residential, commercial, and industrial—is widely acknowledged as a key requirement for the projected benefits of smart grids to be realized. Although the industrial sector has traditionally been involved in managing power use with what ...

In this paper, a model for hybrid transmission expansion planning (TEP) and reactive power planning (RPP) considering demand response (DR) model has been presented. In this study RPP considered by TEP for its effects on lines capacity and reduction of system expansion costs. On the other hand the expansion of the transmission system is an important subject, especially dealing with the new i...

Demand Response (DR) allows utilities to curtail electricity consumption during peak demand periods. Real time automated DR can offer utilities a scalable solution for fine grained control of curtailment over small intervals for the duration of the entire DR event. In this work, we demonstrate a system for a real time automated Dynamic DR (D2R). Our system has already been integrated with the e...

Automateddemand response programs are being increasingly used to address voltage and congestion issues on the low-voltage distributed grid due rapid proliferation of energy resources demand electrification. Data-driven methods, such as reinforcement learning (RL), can help realize these solutions in practice. However, algorithms have their own limitations, including high sample complexity limit...