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This paper aims to Solar photovoltaic (PV) power can significantly impact the power system because of its intermittent nature. Hence, an accurate solar PV power forecasting model is required for appropriate power system planning.

In this paper, a long short-term memory (LSTM)-based double deep Q-learning (DDQL) neural network (NN) is proposed for forecasting solar PV power indirectly over the long-term horizon. The past solar irradiance, temperature and wind speed are used for forecasting the solar PV power for a place using the proposed forecasting model.

The LSTM-based DDQL NN reduces over- and underestimation and avoids gradient vanishing. Thus, the proposed model improves the forecasting accuracy of solar PV power using deep learning techniques (DLTs). In addition, the proposed model requires less training time and forecasts solar PV power with improved stability.

The proposed model is trained and validated for several places with different climatic patterns and seasons. The proposed model is also tested for a place with a temperate climatic pattern by constructing an experimental solar PV system. The training, validation and testing results have confirmed the practicality of the proposed solar PV power forecasting model using LSTM-based DDQL NN.

The purpose of this paper is to explore various types of research materials in Indian institutional repositories.

The repositories are identified from the Registry of Open Access Repositories (ROAR). The repository sites were visited to collect the data necessary for the study.

The present study reveals that barring a few repositories the collections of most of the repositories are very low. The percentage of archived materials is high for journal papers, and moderate for conference papers/thesis. However it is very low for preprints/working papers, teaching resources and patents.

The study provides an overview of archived material in institutional repositories in India.

The purpose of this research is to study various issues concerning the IR software/system involved in development of institutional repositories (IRs) in India.

The survey research method was used. The data collection tool applied for the study was a web questionnaire, which was created with the help of software provided by surveymonkey.com

It was observed that 79 per cent of the institutions had implemented the DSpace IR software package. The respondents considered the End‐user interface to be the top ranking IR‐system feature. It was found that all IRs supported Text (HTML, Postscript, PDF, Spreadsheet etc.) file formats. Half of the respondents marked bitstream copying as a long‐term preservation strategy. Almost all institutional repositories were OAI‐PMH‐compliant.

Only Indian institutional repositories were studied.

This is the first detailed study focusing on the IR system/software aspects of IR. The present study has identified the existence of 16 functional IRs, some of which were not registered in any of the directories such as ROAR, Open DOAR.

The present study aims to investigate the experience, contribution and opinions of users of respective institutional repositories (IRs) developed in India.

The survey method was used. The data collection tool was a web questionnaire, which was created with the help of software provided by surveymonkey.com

It was observed that 85.94 percent of respondents (154) were aware of the IR facility/service and 14.05 percent (26) were not aware of IR. More than half of the respondents, i.e. 52.43 percent (97), learned about the IR service through links provided on institutions' websites. About 36.21 percent of the respondents had not contributed to any type of repository, while 25.94 percent of respondents had contributed to their IR. A higher percentage (16.76 percent) of respondents felt it was an “easy and fast way to communicate research results”. The majority of the respondents, i.e. 113 (61.08 percent), were willing to deposit symposium/conference/seminar papers. The most important reason for contribution was found to be preservation of documents for the future. Peer review was very much acceptable as a quality control mechanism. More than half of the respondents (57.84 percent) wanted to provide open access without any barrier for their ideal repository.

Only users of the respective Indian institutional repositories are studied, and the findings are compared with other studies.

This is the first detailed study focusing on the users and their experience of institutional repositories.