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In the recent era, Reversible computing is a growing field having applications in nanotechnology, optical information processing, quantum networks etc. In this paper, the authors show the design of a cost effective reversible programmable logic array using VHDL. It is simulated on Xilinx ISE 8.2i and results are shown. The proposed reversible Programming logic array called RPLA is designed by MUX gate & Feynman gate for 3-inputs, which is able to perform any reversible 3-input logic function or Boolean function. Furthermore the quantized analysis with comparative finding is shown for the realized RPLA against the existing one. The result shows improvement in the quantum cost and total logical calculation in proposed RPLA.

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Renewable energy systems (RES) are no longer confined to being used as a stand-alone entity in the modern era. These RES, especially solar panels are also used with the grid power systems to supply electricity. However, precise forecasting of solar irradiance is necessary to ensure that the grid operates in a balanced and planned manner. Various solar forecasting models (SFM) are presented in the literature to produce an accurate solar forecast. Nevertheless, each model has gone through the step of evaluation of its accuracy using some error measures. Many error measures are discussed in the literature for deterministic as well as probabilistic solar forecasting. But, each study has its own selected error measure which sometimes landed on a wrong interpretation of results if not selected appropriately. As a result, this paper offers a critical assessment of several common error metrics with the goal of discussing alternative error metrics and establishing a viable set of error metrics for deterministic and probabilistic solar forecasting. Based on highly cited research from the last three years (2019-2021), error measures for both types of forecasting are presented with their basic functionalities, advantages & limitations which equipped the reader to pick the required compatible metrics

With the high demand of low power digital systems, energy dissipation in the digital system is one of the limiting factors. Reversible logic is one of the alternate to reduce heat/energy dissipation in the digital circuits and have a very significant importance in bioinformatics, optical information processing, CMOS design etc. In this paper the authors propose the design of new 2-bit binary Squaring circuit used in most of the digital signal processing hardware using Feynman & MUX gate. The proposed squaring circuit having less garbage outputs, constant inputs, Quantum cost and Total logical calculation i.e. less delay as compared to the traditional method of squaring operation by reversible multiplier. The simulating results and quantized results are also shown in the paper which shows the greatest improvement in the design against the previous methodology.

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