Abstract-A key component of the smart grid is the ability to enable dynamic residential pricing to incentivize the customer and the overall community to utilize energy more uniformly. However, the complications involved require that automated strategies be provided to the customer to achieve this goal. This paper presents a solution to the problem of optimally scheduling a set of residential appliances under day-ahead variable peak pricing in order to minimize the customer's energy bill (and also, simultaneously spread out energy usage). We map the problem to a well known problem in computer science -the multiple knapsack problem -which enables cheap and efficient solutions to the scheduling problem. Results show that this method is effective in meeting its goals.

We present a radiation-hardened-by-design (RHBD) memory design that mitigates Single-Event-Transients (SETs), Single-Event-Upsets (SEUs) and Dual-Event-Upsets (DEUs), hence significantly enhancing the reliability of digital signal processors (DSPs) for space applications. We achieve these attributes by combining a Triple-Interlocked Cell (TICE) SRAM cell array and a Triple Modular Redundancy (TMR) voter. The TICE SRAM cells therein self-correct SEUs and DEUs. The TMR voter eliminates SETs. Our proposed RHBD TICE SRAM cells integrated with the TMR voter are also hardened by the layout/sizing RHBD practices. By means of the 128×9-bit memory implementation @ 65nm CMOS, we show that our memory design is inherent SEU-and DEU-tolerant, and has 94.83% SET reduction and 92.05% Triple-Event-Upset (TEU) reduction when compared to the memory design embodying the 8-transistor (8-T) SRAM cells.

No abstract