Energy, Industry Updates
Article | July 29, 2022
Despite rising energy costs and dwindling customer ratings of the ‘Big Six’, over 37% of Brits still believe they are getting a good deal when it comes to gas and electricity.
Here, Keith Bastian, CEO of rising independent Outfox the Market, challenges those age-old perceptions that are damaging consumer bank balances…
I have never quite understood the notion of pay more for the same service. Except that last part, is really where the difference lies.
As I have made my way through the energy market, it seems clear to me that we are facing a common notion.
Age-old dinosaurs, that have relied on name status and brand power to retain customer loyalty, despite not providing anything different or any value-added service, give the impression that customers are somehow safer with them. That is the biggest misconception.
We at Outfox the Market would like to challenge that.
Of course, when I speak in such a way, I am referring to the ‘Big Six’, those long-established brands whose share in the energy market whilst substantial, is increasingly coming at the cost to its customers.
For example, in the latest independent customer rankings from Which, it was determined that the traditional big energy companies had some of the lowest scores for customer service and value for money, yet some customers still feel secure with them.
On the contrary, rising independents, such as ourselves, were scoring highly in these areas and this is where I feel the difference lies.
Regardless of your opinion on fossil fuels and/or renewables, it is more the value of looking after your customers, understanding their concerns and dealing with them efficiently that has become somewhat lost for the ‘Big Six’.
It is true that they have a larger proportion of customers to serve with a larger workforce, but that should not be to the detriment to the service they provide.
What were are seeing now, as evidenced by the recent Ofgem price hikes, is the ‘Big Six’ once again failing consumers in these areas, with most of the top names putting costs up by £96 a year on average as of April.
I am not one to not acknowledge that energy firms are tongue-tied in some respects in passing regulated costs on; there are times when we must. However, customers could also benefit from a little research.
Even with growing numbers of consumers switching, nearly 60% of all households in the UK are still on standard variable rate tariffs, those that are subject to the incoming Ofgem hikes.
So, the real question is why aren’t more customers switching? Heritage, loyalty and brand association. These facets really should not come at cost of paying more for energy.
I really believe it is down to time-sensitivity and a misunderstanding around the barriers to switching, with cost somewhere in the middle.
According to MoneySuperMarket, 75% of us would switch if we could save £149.99. A hefty figure, but why not the £96 highlighted earlier? That is still pretty good, and something that would add up nicely over the years.
I understand we are time-poor as a nation, it’s well publicised, but we’re all well averse in switching phone contracts and insurance deals, so why not where our energy comes from?
Truth be told, I believe it’s an age-old notion that energy is ‘just something that comes with the house, not worth the hours or hassle to change.’
But in all honesty, it takes a matter of seconds to switch. Firms such as ourselves offer this and more via a quick and easy quote online. Best of all, many energy providers will help manage the switching process for you, contacting your current provider and notifying them of your intentions.
I would also like to challenge this notion that once an energy firm ‘gets you’, you are ‘locked in’ for years upon end in ever rising contract costs.
If you are on a standard variable tariff, you can switch to a new provider at any time. What’s more, even if you are in a fixed term energy deal, which can be subject to exit fees, sometimes the cost involved outweighs the savings you can make with your new provider.
Customers must do their best to ask more of energy firms, check the service they are being given and hold it up against national bill averages. Compare what your neighbours, friends and family are paying under similar living circumstances, and weigh up if you are being given a fair deal.
Living costs and regulated price hikes are always going to be an ever present worry, so I call on both customers and energy firms to do their due diligence in these respects.
Age-old energy firms relying on their reputation must take a serious inward look at their lessening market share to understand why they are failing customers.
It’s time to make a change now, both from business attitude and a consumer standpoint; switching is quick, easy and a vital notion to bear in mind, as both retaining custom and saving money becomes an ever-growing sticking point in the energy market.
Article | July 7, 2023
As the worldwide use of artificial intelligence (AI) in the energy market is expected to reach $7.78 billion by 2024, with a CAGR of 22.49% from 2019 to 2024, it is easy to see why it's a popular topic on the minds of many leading brands in the energy sector, as well as investors looking to reap the future perks that AI could bring to the energy industry.
According to BIS Research, North America is expected to be the largest market for AI in energy through 2024. However, Asia-Pacific is expected to rise rapidly over the same time due to the rising need for more decentralized power production.
Investment Opportunities in AI-based Energy Industry: Economic Visibility
AI's economic viability and progress in the energy business can be attributed to numerous factors, including:
The desire to increase operational efficiency.
Increased interest in energy efficiency.
Decentralized electricity generation is being expanded.
Battery storage solutions are gaining popularity.
Since artificial intelligence has a wide range of applications, there are several investment opportunities in the energy industry.
Upstream Oil and Gas
Enhance efficiency and decrease downtime, which is critical for hydrocarbon companies owing to volatile oil prices and demand, to lessen the environmental implications of energy generation and consumption.
AI has the potential to enhance interactions between contact centers and consumers. Utilities that outsource to contact center providers can suffer significant fees. This is where AI, particularly when combined with natural language processing (NLP), can assist contact center operators by listening to conversations and automatically noting information in the appropriate apps, helping operators to make calls more reliable, effective, and satisfying to customers.
Smart Homes and Cities
AI integration benefits smart meters and smart energy management systems as well. Many residences and towns can utilize AI to collect real-time data and apply it in a number of ways to function more effectively and efficiently, enhancing sustainability while also making a living more comfortable and cities more accessible.
Monitoring Trends in Energy Generation and Consumption
Artificial intelligence is being utilized to assist energy companies and customers in recognizing and tracking patterns in energy generation and consumption. AI, for example, can predict the potential output of a certain wind or solar plant.
Banking, finance, and trade are some of the suitable businesses that can profit. For example, AI and machine learning can be used in algorithmic trading, which involves utilizing computer programs to make trades in the energy business at speeds and frequencies that any human trader would consider inconceivable.
Strategy and Best Practices
Article | July 8, 2022
To maintain the goals of the Paris Agreement and save the Earth from ecological breakdown, one of the most important things experts agree we need to do is transition to a renewable energy economy. While most of us may associate renewable energy with wind energy and solar energy, there are several other sources of clean energy that are growing in popularity. One such source is geothermal energy.
Article | July 16, 2022
Machine learning and artificial intelligence (AI) are two of the most commonly used commercial phrases these days. As a result, companies across sectors are searching for methods to include them in order to optimize and automate their key operations. The energy sector is no exception!
Indeed, throughout the years, renewable energy industries (wind, solar, hydro, nuclear) have substantially gained from the potential of machine learning. They were able to reduce their expenses, make better projections, and raise the rate of return on their portfolio. And this tendency is just going to gain momentum. If your company is in the energy industry or utilizes a lot of power, machine learning and AI can help you improve your business performance. But how precisely? Let's get started.
Ways in Which AI and Machine Learning are Changing Energy Sector
There are a few methods that machine learning and AI can be applied to positively improve the energy industry. Here are a few popular applications currently under development.
AI helps match energy output with demand and ensure power grid stability and resilience.In 2003, a low-hanging high-voltage electricity line hit an overgrown tree in Ohio, causing a widespread blackout. There was no power system alarm and no sign of the incident. The electric company didn't notice until three additional power lines failed. This carelessness ultimately brought down the whole grid. The 50 million-person blackout lasted two days. Eleven individuals died, and $6 billion was lost.
Predictive maintenance can be implemented using machine learning and IoT
Sensors gather operational time series data from electricity lines, equipment, and stations (data accompanied by a timestamp).
Machine learning algorithms can then forecast when a component will fail (or n-steps). It can also anticipate machinery's remaining usable life or future breakdown. These algorithms detect machine failure, eliminate blackouts or downtimes, improve maintenance procedures, and reduce maintenance expenses.
Grid management is a promising AI application in energy. Complex networks distribute electricity to users (also known as the power grid). Generation and demand must always match in the electrical system. Other issues, like blackouts and system breakdowns, can occur.
Despite being ancient, pumped hydroelectric storage is the most common way to store energy. It operates by moving water upwards and letting it fall into turbines. Renewable energy makes predicting the grid's power generation challenging. After all, it is affected by a variety of things, like sunlight and wind.
Large demand shifts can be expensive for nations that depend on renewable energy. As nations migrate to green energy, it's harder to adapt to demand fluctuations. Germany plans to use 80% renewable energy by 2050.
Countries such as Germany will encounter two major challenges Demand fluctuations: On some days or times of the year, power consumption soars (on Christmas, for example) Weather volatility: Without wind or clear skies, it might be hard to meet electrical demand. In both circumstances, more stations or fossil fuel-powered facilities must meet demand
Solving demand response issues
Many nations are partnering with businesses to examine weather forecasts, power demand, etc. Germany's EWeLiNE project forecasts wind and solar energy at a specific moment. This enables the government to use non-renewable energy to meet additional power demand.
They utilize enormous historical data sets to train machine learning algorithms, as well as data from wind turbines or solar panels, to properly balance supply and demand.
AI increases the potential of humans. Several renewable energy producers are investing in artificial intelligence to boost their businesses.There are numerous uses of artificial intelligence in renewable energy. The fundamental purpose of AI integrated systems is to reduce forecasting issues and incorporate renewable energy into the central energy grid as effectively as possible. AI can also assist renewable energy providers in developing successful plans and policies based on present energy consumption and demand.