Submission declined on 4 January 2025 by Josedimaria (talk). Neologisms are not considered suitable for Wikipedia unless they receive substantial use and press coverage; this requires strong evidence in independent, reliable, published sources. Links to sites specifically intended to promote the neologism itself do not establish its notability. Editor has failed to organize this article in the right manner. Article is not written like a Wikipedia article, read WP:MOS. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by Josedimaria 5 months ago. Last edited by AManWithNoPlan 5 months ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

Submission declined on 11 November 2024 by Qcne (talk). This submission reads more like an essay than an encyclopedia article. Submissions should summarise information in secondary, reliable sources and not contain opinions or original research. Please write about the topic from a neutral point of view in an encyclopedic manner. Declined by Qcne 7 months ago.

• Comment: Editor has failed to organize this article in the right manner. Article is not written like a Wikipedia article, read WP:MOS. Jõsé^hola 12:45, 4 January 2025 (UTC)

• Comment: Potentially something here for an article but the way you have written it is all wrong: this is an emotive essay. Please find sources FIRST and then simply paraphrase them in your own words in a neutral way. qcne (talk) 09:08, 11 November 2024 (UTC)

Automatic load shifting is a technique that leverages technology to automatically adjust energy consumption to align with periods of lower energy demand or lower energy prices. By optimizing the timing of energy usage, consumers can reduce their electricity bills and contribute to grid stability.^[1][2][3]

As the global energy landscape shifts towards renewable energy sources like solar and wind power, energy markets are becoming increasingly volatile. These intermittent sources introduce fluctuations in energy supply, leading to:

• Price Volatility: Energy prices can vary significantly over short periods, influenced by factors such as weather conditions and demand patterns.
• Grid Instability: Rapid changes in energy supply can strain the grid's capacity, necessitating careful management.

To implement automatic load shifting, several key components are involved:

1. Real-time Pricing Signals: Consumers need access to real-time energy price information to make informed decisions.^[4]
2. Intelligent Algorithms: Advanced algorithms analyze energy price data, weather forecasts, and consumer preferences to optimize load shifting decisions.
3. Connected Devices: These devices can be controlled remotely to adjust their energy consumption based on pricing signals and algorithmic recommendations.

• Water Heaters: By scheduling water heating during off-peak hours, consumers can take advantage of lower electricity rates.
• Electric Vehicles: Charging electric vehicles during periods of low demand can reduce charging costs and alleviate grid congestion.
• Home Appliances: Flexible appliances, such as washing machines and dryers, can be programmed to operate during off-peak hours.
• Swimming Pools: Filtering for water sanity is a big energy consumer for all pools. Water filtering during lower electricity rates results in significant cost savings for consumers.

• Industrial Processes: Certain industrial processes can be adjusted to consume energy during off-peak hours.
• Data Centers: By shifting non-critical workloads to off-peak periods, data centers can reduce energy costs.

• Reduced Energy Costs: By aligning energy consumption with periods of lower prices, consumers can significantly reduce their electricity bills.
• Enhanced Grid Stability: By smoothing out demand peaks, automatic load shifting can help to stabilize the grid and reduce the need for additional power plants.
• Environmental Impact: By reducing energy consumption during peak demand periods, automatic load shifting can contribute to lower greenhouse gas emissions.

While automatic load shifting offers significant benefits, several challenges must be addressed:

• Consumer Adoption: Encouraging widespread adoption of connected devices is crucial for the success of automatic load shifting.
• Data Privacy and Security: Ensuring the security and privacy of consumer data is essential to build trust and encourage participation.
• Interoperability: Developing standards for communication and data exchange between different devices and systems is vital for seamless integration.

As technology continues to advance, automatic load shifting has the potential to revolutionize the way we consume energy. By embracing this innovative approach, we can create a more sustainable and efficient energy future. Recent (2024) commercially available systems^[5][6] now claim instant return on investment for automatic load shifting, superior to the multi-year return on investment of power-shifting with residential home batteries, such as Tesla Powerwall.^[7]

Optimal placement of loads in time into variable-price energy volume is a resource allocation problem, equivalent to the knapsack problem. The knapsack problem is a NP-complete problem^[8], which means there is no known algorithm that is both correct and fast (polynomial-time) in all cases.