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Solar power generation deals with uncertainty and intermittency issues that lead to some difficulties in controlling the whole grid system due to imbalanced power production and power demand. The forecasting of solar power is an effort in securing the integration of renewable energy into the grid. This work proposes a forecasting model called WT-ANFIS-HFPSO which combines the wavelet transform (WT), adaptive neuro-fuzzy inference system (ANFIS) and hybrid firefly and particle swarm optimization algorithm (HFPSO). In the proposed work, the WT model is used to eliminate the noise in the meteorological data and solar power data whereby the ANFIS is functioning as the forecasting model of the hourly solar power data. The HFPSO is the hybridization of the firefly (FF) and particle swarm optimization (PSO) algorithm, which is employed in optimizing the premise parameters of the ANFIS to increase the accuracy of the model. The results obtained from WT-ANFIS-HFPSO are then compared with several other forecasting strategies. From the comparative analysis, the WT-ANFIS-HFPSO showed superior performance in terms of statistical error analysis, confirming its reliability as an excellent forecaster of hourly solar power data.

The considerable amount of waste PV modules expected to emerge from recent widespread of solar photovoltaic (PV) systems is a cause of concern, especially in sustainability terms. Currently, most end-of-life (EoL) PV modules are either disposed of in landfills or bulk recycled in existing recycling facilities. Although these approaches are easier in execution as less efforts are directed at sustainable management of these modules, they can potentially cause environmental issues including loss of valuable resources and leakage of toxic materials. Hence, high-value closed-loop recycling is much preferred for its environmental merits, although its implementation brings forward challenges that this paper attempts to shed light on. This review paper aims to provide an overview of the EoL management of PV modules, concentrating on the challenges faced in PV recycling. Additionally, PV waste-related regulatory frameworks implemented in different countries are discussed. Recommendations to improve the EoL management of PV modules and trade-offs arising from conflicting solutions are proposed. To establish a sustainable PV waste management framework, legislations promoting the extended producer responsibility (EPR) principle, presence of suitable infrastructure, research and development (R&D) and cooperation of various governmental and private bodies are highly needed.

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