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Automatic optimal multi-energy management of smart homes
Residential and commercial buildings are responsible for approximately 35% of carbon emissions in industrialized countries. Making buildings more...
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A Comparative Study on the Impact of Urban Hazards and the Reconstruction of Old Buildings on the Property Prices of Surrounding Residential Areas
We have conducted a study on the spatial clustering of old buildings and land use management, using Taipei city as the context of our research. The... -
Access Networks Brownfield Investments Based on Characteristic Infrastructure Parameters Optimization
Fiber-wireless access networks can be considered as a competitive alternative or intermediate step to fiber-to-the-home solution. Techno-economic...
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Comparing Machine Learning Techniques for House Price Prediction
One sector that already is feeling the impact of Artificial Intelligence (AI) is the real estate industry. AI is being used in the real estate sector... -
IoT Security, Privacy and Trust in Home-Sharing Economy via Blockchain
The phenomenal growth of Internet-services has created a vibrant new domain for sharing economy. Millions of users around the world share personal... -
Understanding Worldwide Natural Gas Trade Flow for 2017 to 2022: A Network-Based Approach
Natural gas is a critical commodity in the global economy, and its trade dynamics and price movements are of significant interest, particularly... -
Smart Home Automation: Taxonomy, Composition, Challenges and Future Direction
Smart home is an evolving technological innovation that originates from the numerous application areas of the Internet of Things (IoT). As the world... -
Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets
For several decades, sentiment analysis has been considered a key indicator for assessing market mood and predicting future price changes. Accurately...
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Optimizing Prices and Periods in Time-of-use Electricity Tariff Design Using Bilevel Programming
In this paper, a comparison is made between two bilevel programming models to design time-of-use tariffs in the electricity retail market. The... -
Pricing strategies for remanufacturing with government incentives
Government incentives play an important role in the development of the remanufacturing industry. It remains a challenge to determine an optimal...
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A Comparative Study of Machine Learning Models for House Price Prediction and Analysis in Smart Cities
Develo** any precise or exact prediction of house prices is an unsettled task for many years. It is the social as well as economic need for the... -
Analysis of the Difference Between Asking Price and Selling Price in the Housing Market
In Italy, the opacity of the real estate market, which often does not reveal the real consistency of selling prices, or, in relation to the phase of... -
Korb: Design and Development of a User Interface that Presents an Expense Comparison Across Supermarkets with Online Delivery Service
Even though we have been home for more than two years due to the COVID outbreak, the issue remains uncontained. As a result of the pandemic, people’s... -
Why online personalized pricing is unfair
Online retailers are using advances in data collection and computing technologies to “personalize” prices, i.e., offer goods for sale to shoppers at...
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A Privacy-Orientated Distributed Data Storage Model for Smart Homes
With the wide adoption of smart home devices, users are concerned with what sensitive data these devices may be collecting and what that data may be... -
Trend Follower for Blockchain Trading
Perhaps times have changed a bit, but there certainly used to be an unwritten law on the trading floor that expected all traders to go hard or go... -
Stock Price Overvaluation and Digital Transformation Investment of Listed SMEs: Impact Analysis and Path Testing
Based on the investment perspective, this paper takes the data of listed companies on China's SME Board from 2013 to 2019 as a research sample, and... -
(Con)temporary Housing: The AirBnb Phenomenon and Its Impact on the Naples Historic Center’s Rental Market
Some significative historical events have contributed to radical changes in people life (industrial revolution, great depression of the 1920s, world... -
Product pricing solutions using hybrid machine learning algorithm
E-commerce platforms have been around for over two decades now, and their popularity among buyers and sellers alike has been increasing. With the...
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Intelligent energy management systems: a review
Climate change has become a major problem for humanity in the last two decades. One of the reasons that caused it, is our daily energy waste. People...