Поиск :
Личный кабинет :
Электронный каталог: Artificial intelligence technology for evaluating solar energy resources and its application in h...
Artificial intelligence technology for evaluating solar energy resources and its application in h...
Книга (аналит. описание)
Автор:
Artificial intelligence technology for evaluating solar energy resources and its application in h...
б.г.
ISBN отсутствует
Автор:
Artificial intelligence technology for evaluating solar energy resources and its application in h...
б.г.
ISBN отсутствует
На полку
Книга (аналит. описание)
Artificial intelligence technology for evaluating solar energy resources and its application in harbin / R. Kulinich [et al.] // Новые горизонты - 2020: сборник материалов VII Белорусско-Китайского молодежного инновационного форума, 17 ноября 2020 года: [в 2 т.]. – Минск: БНТУ, 2020. - Т. 1 : . – 2020. – P. 50-53. – Режим доступа : https://rep.bntu.by/handle/data/84523. - Пер. загл.: [Технология искусственного интеллекта для оценки ресурсов солнечной энергии]. – На англ. яз.
In terms of economy, electricity is a commodity capable of being bought, sold and traded. Electricity is difficult to store, and it has to be available on demand. Consequently, unlike other products, it’s impossible, under normal operating conditions, to keep it in stock, to ration it, or to have customers queue for it. The solar energy generating system, whether gridconnected or stand-alone, is most commonly used in places when possible to install solar equipment (roofs, pollutes areas, closed rubbish dumps, rural and suburban areas). It is based on converting solar radiation (i.e., photons that are sent from the sun) to produce electricity. The PV system has a lot of ways of applications. For example, in developing countries, PV is used for basic life needs, such as heating and cooking, while in developed countries, the system is used to supply electricity for homes and grids. Due to its importance in the solar energy field, global solar radiation data (GSR) forecasting has become more popular to facilitate solar system installation. This paper investigates the method of prediction of global solar radiation in Harbin by the artificial neural network (ANN) approach. Solar radiation prediction and forecasting carry out considering global weather solar radiation data.
620.92
общий = БД Труды научных работников БНТУ : 2020г.
труды сотрудников БНТУ = Энергетический факультет : кафедра "Промышленная теплоэнергетика и теплотехника"
труды сотрудников БНТУ = Энергетика. Электроэнергетика. Теплотехника (труды)
общий = ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ
общий = ОЦЕНКА
общий = СОЛНЕЧНАЯ ЭНЕРГИЯ
общий = РЕСУРСЫ
Artificial intelligence technology for evaluating solar energy resources and its application in harbin / R. Kulinich [et al.] // Новые горизонты - 2020: сборник материалов VII Белорусско-Китайского молодежного инновационного форума, 17 ноября 2020 года: [в 2 т.]. – Минск: БНТУ, 2020. - Т. 1 : . – 2020. – P. 50-53. – Режим доступа : https://rep.bntu.by/handle/data/84523. - Пер. загл.: [Технология искусственного интеллекта для оценки ресурсов солнечной энергии]. – На англ. яз.
In terms of economy, electricity is a commodity capable of being bought, sold and traded. Electricity is difficult to store, and it has to be available on demand. Consequently, unlike other products, it’s impossible, under normal operating conditions, to keep it in stock, to ration it, or to have customers queue for it. The solar energy generating system, whether gridconnected or stand-alone, is most commonly used in places when possible to install solar equipment (roofs, pollutes areas, closed rubbish dumps, rural and suburban areas). It is based on converting solar radiation (i.e., photons that are sent from the sun) to produce electricity. The PV system has a lot of ways of applications. For example, in developing countries, PV is used for basic life needs, such as heating and cooking, while in developed countries, the system is used to supply electricity for homes and grids. Due to its importance in the solar energy field, global solar radiation data (GSR) forecasting has become more popular to facilitate solar system installation. This paper investigates the method of prediction of global solar radiation in Harbin by the artificial neural network (ANN) approach. Solar radiation prediction and forecasting carry out considering global weather solar radiation data.
620.92
общий = БД Труды научных работников БНТУ : 2020г.
труды сотрудников БНТУ = Энергетический факультет : кафедра "Промышленная теплоэнергетика и теплотехника"
труды сотрудников БНТУ = Энергетика. Электроэнергетика. Теплотехника (труды)
общий = ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ
общий = ОЦЕНКА
общий = СОЛНЕЧНАЯ ЭНЕРГИЯ
общий = РЕСУРСЫ
