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The research here outlines an Internet of Things (IoT) and Artificial Intelligence (AI) research design to increase the efficiency of conventional Chinese fishing nets along Kerala’s coastline. With 2lakh + sonar-based fish records gathered from Chathedam, Cochin Kerala along with various sensor data...

As the requirement of smart grid increasing, a twice clustering algorithm is proposed here to extract the characteristic of load data curve. In addition, the calculating algorithm of load performance is also provided to analyze the curves, including seasonal maximum load curve, seasonal safe load curve,...

The autarchic communities are an attractive scenario that more and more local actors strive to achieve. In electricity autonomous cases a battery system stands as prerequisite to succeed renewables time shifting due to the intermittent nature of decentralized generation. In the present study the local...

Bangladesh, being completely of a low-lying landscape and extensive river systems, highly exposes its terrain to seasonal flooding that inundates roughly 25% of the lands in this country every year. This is an escalating threat which climate change and rapid urbanization are intensifying further. In...

Environmental disasters kill around 12.6 million people year, 25% of all deaths worldwide, according to the UNEP (2024). Bangladesh ranks sixth in disaster risk, according to the Global Climate Risk Index (2021). This shows its vulnerability to climate change and natural disasters. Bangladesh’s low-lying...

Solar assisted district heating systems (SDHS) is a promising pathway towards sustainable transaction to clean energy production. However, the technical performance variation due to the misestimation of the seasonal storage tank (SST) combined with inadequate financial assessment and insufficient environmental...

Karst underground water is the foundation for meeting water needs for most people in the karst region. Therefore, its sustainability needs to be maintained properly through good management. Management of underground karst water really needs to pay attention to the characteristics of the user and environmental...

Traditional railway route selection requires manual fieldwork over long periods, which is physically demanding and subject to seasonal weather conditions, leading to an uneven annual production cycle and low efficiency. With the introduction of high-tech methods and the significant development of artificial...

Double Seasonal Autoregressive Integrated Moving Average (DSARIMA) model is an extension of the single SARIMA that is incorporated in modelling data with two seasonality. Model identification, parameter estimation and diagnostic checking are the steps in the modelling. However, the model identification...

The paper considers the influence of different covers, such as crop residues, soil crust, etc. on the remote determination of humus content in soils of agricultural land. It is shown that in laboratory conditions with dry soil there is a close relationship between the humus content and spectral reflective...

The environment condition in the central economic region of Mongolia has been degrading due to overgrazing, legal and illegal mining, arable land, expansion of settlement areas, migration to cities from rural areas, population growth. Determining the intensity and spatial distribution of the human impact...

High fluctuations of renewable energy sources, such as wind and solar energy, require storage capacity to maintain supply reliability. For long term storage energy carriers to substitute fossil fuels must be found. The reduction of carbon dioxide to liquid substances such as formic acid or formate with...

This study analyses seventy years (1951–2020) of rainfall patterns in Kerala, focusing on long-term variability, extreme events, monsoon divergence, and seasonal rainfall concentration. Monthly rainfall data from 83 stations across all 14 districts were used to create a time series at both district and...

The Solar assisted district heating system (SDHS) is a promising path to accelerate the sustainable movement toward clean energy production in order to solve the challenges of the energy crisis and climate change. However, in real conditions the SDHS is often suffering from a mismatch between the predict...

Researchers have studied meteorological influences on PM2.5 concentration in Dhaka City with limited data and there is a need for further study. This study analyzes time series data (i.e., decadal data: 2013-2022) encompassing the most recent years to better understand long term state of PM2.5 concentration...

Study of the joint daily variability of wind speed and solar activity in the Gulf of Finland and its impact on renewable energy sources. The combined distribution of the daily mean insolation and wind speeds shows that insolation has a much stronger seasonal cycle than wind, due to the tilt of the Earth’s...

According to the library book borrowing amount data from June 2013 to December 2018 at Qilu University of Technology (Shandong Academy of Sciences), this work studied the statistical laws of data series of borrowing quantity. Based on the combination of seasonal effects, long-term trends, and random...

As the frequency of extreme climate events escalates, the financial systems face significant challenges. This paper empirically examines the effects of extreme climate on the volatility of agricultural product futures prices by constructing a network of agricultural product futures. The findings reveal...

The research object of electricity marketing is electricity consumption market. It is of great significance for judging the trend of its development and guiding the decision maker to analyze the prosperity of electricity consumption market. This paper put forward an entire system from disposal to filter...

Urban thermal environments are shaped by complex interactions between built form and ecological elements, yet many studies still rely on linear assumptions that obscure threshold and stage-dependent behaviours. This study investigates the nonlinear drivers of daytime Land Surface Temperature (LST) in...

Climate impact assessment models can have outputs that are sensitive to biases on the local scale. Hence, bias correction methods are used to amend the distribution of the climate impact assessment model in order to match the local observations. A great deal of errors can be removed from the model after...

As a creditor's right of enterprises, accrued income directly influences the actual earnings level of enterprises. Based on the seasonal data from 2009Q1 - 2015Q3, by selecting the relevant indicators of accounts receivable as the indicators of measuring accrued income, an empirical test on the relevance...

Renewable Metal Fuels (ReMeF) have great potential to store renewable energy for several months. A thorough criteria evaluation of possible candidates was conducted, considering (1) abundance in the Earth's crust, (2) world reserves, (3) market price and its development, (4) energy density, and...

The problem of seasonal energy storage, where excess renewable energy in the summer months is stored to cater for the winter season, is an active topic being researched [1, 2]. The solution being proposed in this paper targets residential homes, and is the result of the development of a microCHP with...

Selecting Jinghong hydropower station as a study case, we studied the spatial-temporal change of land use and landscape pattern during 2004,2009 and 2013 based on the application of RS interpretation , ArcGIS 10.1 analysis and Fragstats3.4. The results showed that: 1) Area of tea garden, traffic land,...

The purpose of this research was to predict seasonal time series data using the Holt-Winters exponential smoothing additive model and the Seasonal autoregressive integrated moving average (ARIMA). The data used in this study is data on farmer term of trade at Nort Sumatera in 2016–2020, the source of...

The prices of rare earth products in China fluctuate periodically. In order to figure out the fluctuations rule, this paper chooses the monthly prices data of rare earths neodymium oxide and dysprosium oxide as samples from February in 2006 to December in 2017, uses the X12 seasonal adjust method and...

Community Supported Agriculture (CSA) has become a popular alternative available to shoppers looking for local, seasonal produce at a fair price. The numbers of farms offering a CSA has increased in recent years, from an estimated 60 farms in 1990 to over 7,000 today. From the farmers’ perspective, the...

The paper presents an algorithm for smoothing time series with seasonality. The proposed method is based on median smoothing and the Hodrick–Prescott decomposition. Using a software implementation in the R language, the correctness of the developed algorithm is checked; it is also compared with other...

A change in the electricity consumption is taking place, where one of the main reasons is the large increase in Distributed Generation, as photovoltaic (PV) systems and electric batteries in the low voltage (LV) distribution grid. This could translate in specific cases into a situation of increased peak...

Calendar anomalies are one of the market anomalies that disrupt the efficient market hypothesis. Based on studies of calendar anomalies carried out in several capital markets in the world prove the existence of irregularities in seasonal return (day of the week effect) and monthly (month of the year...

To investigate the influence of freeze-thaw cycles and loading on the mechanical characteristics of highway subgrades, a damage constitutive model under the coupled effect of freeze-thaw cycles and loading was constructed by integrating the Weibull distribution with Lemaitre’s effective stress principle,...

For engineering planning, especially water structures such as irrigation, dams, urban drainage, ports, docks, etc., rainfall data is very important. Rainfall has a periodic nature, because it is affected by climates such as wind, temperature, humidity and so on. These parameters are transferred into...

Nobody can accurately predict amount of sales revenue expected. There is need for accuracy to eliminate risk of revenue loss. Surveys have shown that accuracy is the most important criterion in selecting a forecasting strategy. Which criterion then provides the most accurate forecast? Human judgment...

Climate change in Sumatra island is likely a result of widespread land-use changes by the plantation industry. This study aims to investigate trends in land surface temperatures in Sumatra island. Land surface temperatures from 2001-2020 were downloaded from the National Aeronautics and Space Administration...

Large-scale seasonal thermal energy storage (STES) substantially facilitates a full exploitation of the local renewable energy sources (e.g. geothermal, solar, waste heat) potential in renewables-based district heating systems in order to mitigate CO2 emissions and the climate change. Large-scale seasonal...

Monsoon is the seasonal wind blowing through continents Australia and Asia. Monsoon is one of the main element which influences the weather and climate in some Indonesia areas. Sea Surface Temperature is the water temperature close to the ocean’s surface. Sea Surface Temperature is directly influenced...

Statistical reporting is a source of information support, comprehensive assessment, monitoring of social and labour activity for operational and strategic management of an enterprise, region, industry, state for obtaining reliable and complete information on organization, use of labour, social and labour...

Proposed a combination predicting method based on innovation grey theory and neural network to improve the precision of spacecraft power predicting. Established innovation GM(1,1)+RBF combination predicting model with optimal predicting precision according to the spacecraft power seasonal fluctuating....

There were analyzed the main global and Russian trends of agricultural prices in this article. According to the mathematical model “Cassandra”, were allocated a trend, a seasonal component and a remainder term of a series of average monthly prices for various agricultural products in the Irkutsk region...

The paper examines the process of heat exchange of soil mass with a gas pipeline and mathematical modeling. It involves seasonal changes in heat exchange conditions on the surface as well as cyclical changes in the temperature of the transported gas. The mathematical formulation for dynamics of two-dimensional...

We develop a spatially explicit cellular automaton model to evaluate long-term crop–weed dynamics on a 100-ha grid under four strategies: no control, chemical suppression (reduced weed growth), enhanced crop competitiveness (higher carrying capacity and stronger suppression), and threshold-based mechanical...

With intelligent greenhouse computer, network, electronic, automatic control, and other high-tech means to achieve automatic detection and control of plant growth small environment temperature, humidity, light, soil moisture, ventilation and other environmental parameters, breaking the traditional agricultural...

Forests of mangroves are one of the most common wetland types in Peninsular Malaysia and play an important role in our ecosystem. Mangrove forests are highly productive ecosystems that offer a diverse variety of goods and services to the coastal environment as well as to people and other animals. All...

The scientific community is very concerned about groundwater contamination since it directly affects human health and also to achieve SDG6. Since fast pace of urbanization have been ascertained in Bhubaneswar- a smart city of eastern India and mostly dependent on ground water so the quality of ground...

This paper chose the surface sediments of lakeside wetland from southern Yangzonghai as the research object, studied the sediment contents of total arsenic (TAs) and arsenic fractions (acid soluble arsenic-F1, reducible arsenic-F2, oxidable arsenic-F3 and residual arsenic-F4) of different seasons and...

Based on the observed data of precipitation and air temperature in Northern Shaanxi during 1960–2020, the characteristics of precipitation and air temperature at multiple time scales in Northern Shaanxi were analyzed by using CEEMDAN (Adaptive Complete Set Empirical Model) and back propagation neural...

Balancing agricultural productivity with ecological health remains a major global challenge amid surging food demand and ecosystem pressures. This study developed the Dynamic Farmland Food Web (DFFW) model, adapting the Lotka-Volterra framework to simulate crop-pest-predator interactions, integrating...

Uranium is the basic nuclear fuel of the present nuclear power programme. Nuclear Power Corporation of India Limited (NPCIL), it is proposed for establishment of Nuclear Power Plant (NPP) at Kovvada, Ranasthalam Mandal of Srikakulam District of Andhra Pradesh, India. The Base line study carried out for...

In reality, there are so-called holiday effects in the sales of many consumer goods, and their sales data have the characteristics of double trend change of time series. In view of this, by introducing the seasonal decomposition and ARIMA model, this paper proposes a sales forecasting model for the consumer...