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Some of the major concerns since the implementation of smart meters (prepaid meters) in some parts of Ghana is how electricity consumers have benefited from data obtained from these meters by providing important statistics on electricity-saving advice; this is one of the key demand-side management methods for achieving load reduction in residential homes. Appliance shifting techniques have proved to be an effective demand response strategy in load reduction. The purpose of this paper is therefore to help consumers of electricity understand when and how they can shift some appliances from peak to off-peak and vice versa.

The research uses an analysis technique of Richardson et al. (2010). In their survey on time-of-use surveys to determine the usage of electricity in households as far as appliance shifting was concerned, this study allowed for the assessment of how the occupants’ daily activities in households affect residential electricity consumption. Fell et al. (2014) modeled an aggregate of electricity demand using different appliances (n) in the household. The data for the peak time used in this study were identified from 05:00 to 08:00 and 17:00 to 21:00 for testing the load shifting algorithms, and the off-peak times were pecked from 10:00 to 16:00 and 23:00. This study technique used load management considering real-time scheduling for peak levels in the selected homes. The household devices are modeled in terms of controlled parameters. Using this study’s time-triggered loads on refrigerators and air conditioning systems, the findings suggested that peak loads can be reduced to 45% as a means of maintaining the simultaneous quality of service. To minimize peak loads to around 35% or more, Chaiwongsa and Wongwises (2020) have indicated that room air conditioning and refrigerator loads are simpler to move compared to other household appliances such as cooking appliances. Yet in conclusion, this study made a strong case that a decrease in household peak demand for electricity is primarily contingent on improvements in human behavior.

This study has shown that appliance load shifting is a very good way of reducing electrical consumption in residential homes. The comparative performance shows a moderate reduction of 1% in load as was found in the work done by Laicaine (2014). The results, however, indicate that load shifting to a large extent can be achieved by consumer behavioral change. The main response to this study is to advise policymakers in Ghana to develop the appropriate demand response and consumer education towards the general reduction in electrical load in domestic households. The difficulty, however, is how to get the attention of consumer’s on how to start using appliances with less load at peak and also shift some appliances from off-peak times. By increasing consumer knowledge and participation in demand response, it is possible to achieve more efficiency and flexibility in load reduction. The findings were benchmarked with existing comparison studies but may benefit from the potential production of structured references. However, the findings show that load shifting can only be done by modifying consumer actions.

It should be remembered that this study showed that the use of appliances shifting in residential homes results in load reduction benefits for customers, expressed as savings in electricity prices. The next step will be to build on this cost/benefit study to explain and measure how these reductions transform into net consumer gains for all Ghanaian households.

Load shifting will include load controllers in the future, which would automatically handle electricity consumption from various appliances in the home. Based on the device and user needs, the controllers can prioritize loads and appliance usage. The algorithms that underpin automatic load controllers will include knowledge about the behaviors of groups of end users. The results on the time dependency of activities may theoretically inform the algorithms of automatic demand controllers.

This paper addresses an important need for the country in the midst of finding solutions to an unending energy crisis. This paper presents demand response to the Ghanaian electricity consumer as a means to help in the reduction of load in residential homes. This is a novel research as no one has at yet carried out any research in this direction in Ghana. This paper has some new information to offer in the field of demand in household electricity consumption.

Electricity utilization at electricity peak hour may differ from every single administration region, for example, mechanical region, business territory and residential zone. This paper introduces a demand-side load management (DSM) strategy, which is one of the utilization of smart grid (SG) that is fit for controlling loads inside the residential working so that the client fulfillment is augmented at least expense.

In this paper, a heuristic algorithms-based energy management controller is intended for a residential region in a SG. Here, Antlion Optimization technique is used for DSM techniques such as load shifting, peak clipping, and valley filling in the residential sectors for 24 h with the help of stochastic function to determine the detection of random distribution of the load.

This proposed algorithm offered the greatest fulfillment and least expense caused by the consumers when compared to the traditional cost by taking the individual consumer preferences for the loads and the ideal time scheduling for the load, which is obtained from the rebuilding trap.

Simulation results demonstrate that the comparison of the cost incurred by the users obtained by the DSM techniques is satisfiable.

The purpose of this study is to analyse the contribution of shifting the load of household devices from periods of renewable energy underproduction to surplus periods in order to better match energy production and demand.

An optimisation model for load shifting of household devices is developed and analysed with the help of a simulation of energy loads for the year 2030 in Germany.

About 1.48% of the renewable surplus energy can be used in addition which equals total savings between €15.06m and €106.71m. However, 24.47% of the surplus periods can be compensated completely and 6.38% up to a level of 94%.

A 100% diffusion of smart metres and devices and a high acceptance among consumers are assumed so that the results of this study present an upper bound for the contribution of household load shifting.

Load shifting of household devices provides only a small contribution and can only be one measure among others. It is crucial to find and invest in new energy storage systems so that more renewable spill-over energy can be used.

An optimisation model for load shifting is developed. Customer behaviour and devices are considered individually and not only a fixed percental share. Beside peak load periods also periods of renewable spill-over energy are considered.

This paper aims to explore how home economists, employed by the Good Housekeeping Institute, may have influenced the use of principles from the home economics movement in advertising appeals for electric appliances.

A content analysis of more than 400 print advertisements from Good Housekeeping magazine, from 1916 to 1929, was conducted to determine whether manufacturers used appeals derived from the home economics movement in their advertising. Then, the Good Housekeeping Institute’s history is explored to suggest how its relationship with manufacturers may have resulted in the use of the home economics movement’s principles in advertising appeals for electric appliances.

The content analysis shows that principles of the home economics movement appeared in advertising appeals for electric appliances in advertisements placed in Good Housekeeping magazine during the period studied. Through its unique relationships with electric appliance manufacturers, the Good Housekeeping Institute seems to have taught manufacturers how to position electric appliances by incorporating the principles of the home economics movement in their advertising appeals.

This research demonstrates how a commercial organization successfully navigated its relationships with manufacturers and consumers for mutual benefit.

This work is the first to link the Good Housekeeping Institute’s work with manufacturers to its influence on advertising appeals. This work also expands understanding of the influence of women on marketing practice. Existing literature on women’s publications is also broadened by analyzing Good Housekeeping, rather than the more frequently studied Ladies’ Home Journal.

Energy conservation literacy within households is a contemporary and topical issue globally. However, scant research has been conducted on energy-saving literacy amongst Ghanaian households. To substantiate the problem, this paper aims to examine energy conservation literacy and behaviours among Ghanaian households in the Greater Accra Region.

The study assessed household electricity use and explored determinants of household energy conservation behaviours. Data was collected through a survey administered to households within the target region and analysed using descriptive statistics and Spearmen’s rank correlation.

Results showed electricity conservation among households is greatly influenced by the number of household occupants, household income levels, and the quality and quantity of appliances. The study also found that conservation behaviours are positively correlated to the number of occupants, household income levels, the quantity of electrical appliances, age of household members, number of rooms and level of urbanization within the home’s geographical region. Cumulatively, the findings suggest households held positive attitudes towards efficient energy practices. Enigmatically, the use of energy-conserving alternative technologies was not widely used by households; hence, this factor does not significantly affect household energy conservation.

Although limited to Ghana’s capital region, the findings can be used to inform policy and regulations at the regional and national levels in designing an efficient and effective mechanism to reduce the country’s overall energy use.

Premised upon the findings, the study recommends an intensification of education and awareness-creation on various energy-saving regulations and initiatives and thorough education on the usage of standardized (approved) refrigerators to promote the consistent adoption of energy conservation measures among households.

This study pioneers investigations into the influence of household demographic variables on overall electricity conservation behaviours exhibited by Ghanaian households

The purpose of this paper is to examine how active consumers, i.e. consumers that can inter-temporally shift their load, can influence electricity prices. As demonstrated in this paper, inter-temporal load shifting can induce negative electricity prices, a recurring phenomenon on power exchanges.

The paper presents a novel electricity-market model assuming a nodal-pricing, energy-only spot market with active consumers. This study formulates an economic equilibrium problem as a linear program and uses an established six-node case study to compare equilibrium prices of a model with inflexible demand to a model with flexible demand of active consumers.

This study illustrates that temporal coupling of hourly market clearing through load shifting of active consumers can cause negative electricity prices that are not observed in a model with ceteris paribus inflexible demand. In such situations, where compared to the case of inflexible demand more flexibility is available in the system, negative electricity prices signal lower total system costs. These negative prices result from the use of demand flexibility, which, however, cannot be fully exploited due to limited transmission capacities, respectively, loop-flow restrictions.

Literature indicates that negative electricity prices result from lacking flexibility. The results illustrate that active consumers and their additional flexibility can lead to negative electricity prices in temporally coupled markets, which in general contributes to increased system efficiency as well as increased use of renewable energy sources. These findings extend existing research in both the area of energy flexibility and causes for negative electricity prices. Therefore, policymakers should be aware of such (temporal coupling) effects and, e.g. continue to allow negative electricity prices in the future that can serve as investment signals for active consumers.

The use of energy storage devices helps the consumers to utilize the benefits and flexibilities brought by smart networks. One of the major energy storage solutions is using electric vehicle batteries. The purpose of this paper is to develop an optimal energy management strategy for a consumer connected to the power grid equipped with Vehicle-to-Home (V2H) power supply and renewable power generation unit (PV).

The problem of energy flow management is formulated and solved as an optimization problem using a linear programming model. The total energy cost of the consumer is optimized. The optimal values of decision variables are found using CPLEX solver.

The simulation results demonstrated that if the optimal decisions are made regarding the V2H operation and managing the produced power by solar panels then the total energy payments are significantly reduced.

The gap that the proposed model is trying to fill is the holistic determination of an optimal energy procurement portfolio by using various embedded resources in an optimal way. The contributions of this paper are in threefold as: first, the introduction of mobile storage devices with a periodical availability depending on driving schedules; second, offering a new business model for managing the generation of PV modules by considering the possibility of grid injection or self-consumption; third, considering Real Time Pricing in the suggested formulation.

Aims to determine how robotics is used in white goods manufacture.

Interviews production specialists at BSH Bosch and Siemens Hausgerate about the application of robots to dishwasher manufacture at the company's Dillingen plant in Germany, and reviews several robot applications at the facility.

Robots have an important though limited role to play in dishwasher manufacture due to most automation needs being met by dedicated machinery

Reveals how the white goods industry views robotics and its value to production

The closure of Fagor Electrodomésticos in October 2013, the most iconic cooperative in the Mondragon Group, not only cast doubt on the economic and social management of the cooperative itself but also called into question the very viability of the overall cooperative model. In addition to describing the evolution of this cooperative in its last years in business, this chapter offers a comprehensive review of the mechanisms of inter-cooperation in the Mondragon Group and the way in which they were applied in the crisis at Fagor Electrodomésticos.

The methodology applied is a qualitative research methodology mainly based on semi-structured interviews.

The main conclusion of the chapter is that the closure of the cooperative was largely caused by market conditions. The chapter also highlights the validity of the mechanisms of inter-cooperation applied in managing employment which contributed to a rapid resumption of the employment situation of surplus personnel from Fagor Electrodomésticos.

The main contribution of this chapter comprises a detailed description of the methods used by the Mondragon Group to manage employment adjustment at the time of closure of its largest industrial cooperative during the recent general economic crisis (2008–2014), and thus avoid large-scale unemployment, its concommitant problems, and deeper deterioration of social capital in the Mondragon area. Further research is needed to compare this process with other international experiences based on cooperation.

The implementation of the digital economy has had a considerable influence on the manufacturing industry, and this paper aims to address the important issues of how to capture the opportunities presented by digital innovation and promote the transformation and upgrading of the manufacturing industry, as well as the improvement of quality and efficiency.

Using panel data from 30 Chinese provinces and cities between 2010 and 2021, this study establishes the panel vector autoregression (PVAR) model and uses impulse response function analysis to evaluate the influence of the digital economy on the high-quality transformation and upgrading of China's small home appliance industry across five dimensions under the digital economy.

The development of digital infrastructure has not demonstrated a noteworthy capacity for advancing the transformation and upgrading of the small home appliance industry. Furthermore, digital industrialization has exerted a minimal restraining influence on this process. Nevertheless, digital governance has consistently exhibited a substantial impact on facilitating the transformation and upgrading of the small home appliance industry. While both industrial digitization and digital innovation hold significant potential for promoting the transformation and upgrading of the small home appliance industry, their sustainability remains limited.

The organization should logically join independent innovation and open innovation, construct an industrial ecosystem for the profound convergence of the digital economy and compact household appliances, use digital-wise science and technology to empower the establishment of brand effects, strengthen the portrayal of the digital standard framework for the intelligent compact household appliance industry, advance the development of a public stage for computerized administrations in the compact household appliance industry and develop a strategy ecosystem for computerized assets in the compact household appliance industry.

This study offers systematic evidence of the relationship between the digital economy and the development of the small home appliance industry. The results of this research contribute to the literature on the impact of the digital economy on the manufacturing sector and provide a logical explanation for the transformation and upgrading of the small home appliance industry within the context of the digital economy.