The article addresses challenges related to climate change research. It provides an overview of contemporary information technologies that facilitate the design of highly efficient climate monitoring information systems, specifically in terms of processing speed and data completeness.
The successful deployment of solar energy systems necessitates accurate forecasting of electricity production by photovoltaic power stations (PPS) to ensure the stable operation of power supply networks. This requirement stems from the need to maintain a real-time balance between electricity generation and consumption, which is achieved through the implementation of complex hierarchical control systems governing available energy sources.
Time series forecasting is a crucial task in economics, business, and finance. Traditionally, forecasting methods such as autoregression (AR), moving average (MA), exponential smoothing (SES), and, most commonly, the autoregressive integrated moving average (ARIMA) model are used. The ARIMA model has demonstrated high accuracy in predicting future time series values. With the advancement of computational power and deep learning algorithms, new approaches to forecasting have emerged.
The article describes the issues of designing an information monitoring system for assessing the ecological state of the reserve territory. An information model of the system has been developed taking into account the parameters of the state of air, surface water, and soil in the "Roztochchya" nature reserve; in particular, attention is focused on the features of the biological diversity of the Vereshchytsky and Stavchansky branches of the reserve.
The study substantiates the feasibility of using machine learning technology to improve the iteration planning process in IT projects implemented using the Scrum methodology. The problem of productivity planning in teams is set. The subject and object of the research are formulated. The expected scientific novelty and practical significance of the research results are described. A range of potential issues related to task planning in IT projects, particularly the accuracy of team productivity forecasting, is considered.
Оцінено три структури моделей динаміки умовної дисперсії, які використано для однокрокового прогнозування на навчальній та перевіряльній вибірках. Для оцінювання параметрів моделей використано метод Монте-Карло для марковських ланцюгів. Оцінки прогнозів волатильності, обчислені на основі МСВ та моделі Е-УАРУГ, демонструють схожі результати, що підтверджує коректність використаного підходу загалом.
Predicting a building’s energy consumption plays an important role as it can help assess its energy efficiency, identify and diagnose energy system faults, and reduce costs and improve climate impact. An analysis of current research in the field of ensuring the energy efficiency of buildings, in particular, their energy assessment, considering the types of models under consideration, was carried out.
We consider waste management and management as an area of ecological safety. As a result of the study, the ecological aspects of this branch of activity were analyzed on the example of the operation of the operating MSW landfill in the city of Kremenchuk. The prospective direction of the field of waste management in the region, as well as the state of its financing, are taken into account. Such dangerous factors in the operation of the municipal landfill for the environment as: pollution of groundwater and open dumps of the landfill have been identified.
The work purpose is information system design and development. The study object is sales forecasting system process for building materials assortment. The study subject is forecasting sales system development methods and means for building materials assortment. the process of the system of forecasting sales of the range of construction materials.
In the article analysed informative and prognostication providing of state administration. Was analysed basic problems informative and prognostication providing of state administration and possible ways of their decision.